Triple

T7914158
Position Surface form Disambiguated ID Type / Status
Subject Easton Airport E183774 entity
Predicate hasFaaCode P420 FINISHED
Object ESN
ESN is the FAA location identifier for Easton Airport in Maryland, United States.
E696835 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ESN | Statement: [Easton Airport, hasFaaCode, ESN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESN
Context triple: [Easton Airport, hasFaaCode, ESN]
  • A. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • B. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • C. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • D. ESU
    ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
  • E. HESN
    HESN is the ICAO airport code for Aswan International Airport in Aswan, Egypt.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ESN
Triple: [Easton Airport, hasFaaCode, ESN]
Generated description
ESN is the FAA location identifier for Easton Airport in Maryland, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESN
Target entity description: ESN is the FAA location identifier for Easton Airport in Maryland, United States.
  • A. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • B. ESE
    ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
  • C. ESU
    ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
  • D. ESU
    ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
  • E. HESN
    HESN is the ICAO airport code for Aswan International Airport in Aswan, Egypt.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFaaCode
Context triple: [Easton Airport, hasFaaCode, ESN]
  • A. airportCodeFAA
    Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
  • B. FAAcode chosen
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • C. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • D. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • E. hasAirportCodeType
    Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a748f4c8190bcd868de2fcf0b3a completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdfb8d0819089cf1268df61bcdc completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:04 p.m.