Triple

T2673202
Position Surface form Disambiguated ID Type / Status
Subject Bangor International Airport E56396 entity
Predicate ICAOcode P419 FINISHED
Object KBGR
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
E287868 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: KBGR | Statement: [Bangor International Airport, ICAOcode, KBGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KBGR
Context triple: [Bangor International Airport, ICAOcode, KBGR]
  • A. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • B. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • C. BGR
    BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
  • D. KGRR
    KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • E. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • 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: KBGR
Triple: [Bangor International Airport, ICAOcode, KBGR]
Generated description
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KBGR
Target entity description: KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
  • A. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • B. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • C. BGR
    BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
  • D. KGRR
    KGRR is the ICAO airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
  • E. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b08b1c8190824342fc63e555d2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06170108190a6f4be82fa4ecd2a completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e62fa08190bf278abfce54708d completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1c8a7708190bdaefee27d596e49 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.