Triple

T12627523
Position Surface form Disambiguated ID Type / Status
Subject Yan'an Nanniwan Airport E301553 entity
Predicate hasIATACode P2569 FINISHED
Object ENY
ENY is the IATA airport code for Yan'an Nanniwan Airport, a regional airport serving Yan'an in Shaanxi Province, China.
 E992419 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: ENY | Statement: [Yan'an Nanniwan Airport, hasIATACode, ENY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENY
Context triple: [Yan'an Nanniwan Airport, hasIATACode, ENY]
  • A. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • B. ENM
    ENM is the commonly used abbreviation for the Naval Military School (Escuela Naval Militar), the institution responsible for training naval officers.
  • C. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • D. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • E. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • 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: ENY
Triple: [Yan'an Nanniwan Airport, hasIATACode, ENY]
Generated description
ENY is the IATA airport code for Yan'an Nanniwan Airport, a regional airport serving Yan'an in Shaanxi Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENY
Target entity description: ENY is the IATA airport code for Yan'an Nanniwan Airport, a regional airport serving Yan'an in Shaanxi Province, China.
  • A. En
    En is the Romansh name for the Inn River, a major Alpine river flowing through Switzerland, Austria, and Germany.
  • B. ENM
    ENM is the commonly used abbreviation for the Naval Military School (Escuela Naval Militar), the institution responsible for training naval officers.
  • C. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • D. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • E. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 9, 2026, 5:14 p.m.