Triple

T13992175
Position Surface form Disambiguated ID Type / Status
Subject Nanchang Changbei International Airport E336607 entity
Predicate ICAOcode P419 FINISHED
Object ZSCN
ZSCN is the ICAO airport code assigned to Nanchang Changbei International Airport in Jiangxi Province, China.
 E1072959 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: ZSCN | Statement: [Nanchang Changbei International Airport, ICAOcode, ZSCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZSCN
Context triple: [Nanchang Changbei International Airport, ICAOcode, ZSCN]
  • A. ZSC
    ZSC is a Swiss professional ice hockey club based in Zürich that competes in the National League.
  • B. ZSCG
    ZSCG is the ICAO airport code assigned to Changzhou Benniu International Airport in Changzhou, Jiangsu Province, China.
  • C. ZCN
    ZCN is the IATA airport code assigned to Celle Air Base, a military airfield in Celle, Germany.
  • D. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • E. SNSC
    SNSC is the acronym for Iran’s Supreme National Security Council, the top body responsible for formulating and coordinating the country’s national security and foreign policy strategies.
  • 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: ZSCN
Triple: [Nanchang Changbei International Airport, ICAOcode, ZSCN]
Generated description
ZSCN is the ICAO airport code assigned to Nanchang Changbei International Airport in Jiangxi Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZSCN
Target entity description: ZSCN is the ICAO airport code assigned to Nanchang Changbei International Airport in Jiangxi Province, China.
  • A. ZSC
    ZSC is a Swiss professional ice hockey club based in Zürich that competes in the National League.
  • B. ZSCG
    ZSCG is the ICAO airport code assigned to Changzhou Benniu International Airport in Changzhou, Jiangsu Province, China.
  • C. ZCN
    ZCN is the IATA airport code assigned to Celle Air Base, a military airfield in Celle, Germany.
  • D. ZCS
    ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
  • E. SNSC
    SNSC is the acronym for Iran’s Supreme National Security Council, the top body responsible for formulating and coordinating the country’s national security and foreign policy strategies.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac98ca448190b585ef69a4e4bfca completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae8f83f481909ac16d4bb66ea79d completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf71ad648190b9128851ba62590e completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.