Triple

T6620408
Position Surface form Disambiguated ID Type / Status
Subject Santa Monica Airport E149658 entity
Predicate IATAcode P418 FINISHED
Object SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
 E601157 NE FINISHED

How this triple was built (4 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: SMO | Statement: [Santa Monica Airport, IATAcode, SMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMO
Context triple: [Santa Monica Airport, IATAcode, SMO]
  • A. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • B. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • C. SMK
    SMK is the commonly used abbreviation for the Office of the Prime Minister of Norway, the central executive body that supports the Norwegian Prime Minister and coordinates government policy.
  • D. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • 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: SMO
Triple: [Santa Monica Airport, IATAcode, SMO]
Generated description
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMO
Target entity description: SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • A. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • B. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • C. SMK
    SMK is the commonly used abbreviation for the Office of the Prime Minister of Norway, the central executive body that supports the Norwegian Prime Minister and coordinates government policy.
  • D. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • F. None of above. chosen

Provenance (5 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7aff44819089da6145e1ef5f76 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbe2bcfc8190a3224c688443edc9 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd89b51c81909ea17d391732630e completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce70442c8190a12a6c6eb76c5269 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:58 p.m.