Triple

T3218745
Position Surface form Disambiguated ID Type / Status
Subject Haifa Airport E67458 entity
Predicate hasIATAcode P2569 FINISHED
Object HFA
HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
 E337621 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: HFA | Statement: [Haifa Airport, hasIATAcode, HFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFA
Context triple: [Haifa Airport, hasIATAcode, HFA]
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HHFA
    HHFA is the acronym for the former U.S. federal Housing and Home Finance Agency, which oversaw national housing and urban development programs before the creation of the Department of Housing and Urban Development (HUD).
  • C. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • D. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • E. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • 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: HFA
Triple: [Haifa Airport, hasIATAcode, HFA]
Generated description
HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFA
Target entity description: HFA is the IATA airport code for Haifa Airport, a regional airport serving the city of Haifa in northern Israel.
  • A. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • B. HHFA
    HHFA is the acronym for the former U.S. federal Housing and Home Finance Agency, which oversaw national housing and urban development programs before the creation of the Department of Housing and Urban Development (HUD).
  • C. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • D. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • E. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0c48b481909d1bd9dc41dfa8c2 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26245dfb08190a051ec6d2dbc63c6 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c54c508190be85da879935e7f4 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268d60bd0819097194da2e9065947 completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.