Triple

T3677766
Position Surface form Disambiguated ID Type / Status
Subject Westchester County Airport E78036 entity
Predicate ICAOcode P419 FINISHED
Object KHPN
KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
 E378991 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: KHPN | Statement: [Westchester County Airport, ICAOcode, KHPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHPN
Context triple: [Westchester County Airport, ICAOcode, KHPN]
  • A. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • B. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • C. HKN
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • D. KNPA
    KNPA is the ICAO airport code for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • E. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • 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: KHPN
Triple: [Westchester County Airport, ICAOcode, KHPN]
Generated description
KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHPN
Target entity description: KHPN is the ICAO airport code for Westchester County Airport, a regional airport serving Westchester County, New York and the surrounding area.
  • A. HKNW
    HKNW is the ICAO airport code assigned to Wilson Airport in Nairobi, Kenya.
  • B. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • C. HKN
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • D. KNPA
    KNPA is the ICAO airport code for Naval Air Station Pensacola, a major U.S. Navy aviation training base in Florida.
  • E. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4643cf08190b2d10ddf4aac7407 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a50d40819081aad0c72bcaee9d completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c451a5048190bfd4675cd17de655 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c494ad80819084d6aa10fe62a63b completed March 14, 2026, 2:14 a.m.
Created at: March 8, 2026, 3:25 p.m.