Triple

T6856358
Position Surface form Disambiguated ID Type / Status
Subject Greater Binghamton Airport E158153 entity
Predicate ICAOcode P419 FINISHED
Object KBGM
KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
 E624215 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: KBGM | Statement: [Greater Binghamton Airport, ICAOcode, KBGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KBGM
Context triple: [Greater Binghamton Airport, ICAOcode, KBGM]
  • A. KMGM
    KMGM is the ICAO airport code for Montgomery Regional Airport, a public airport serving Montgomery, Alabama.
  • B. BKGMF
    BKGMF is the over-the-counter ticker symbol for Bank of Guam, a regional financial institution serving Guam and other Pacific island communities.
  • C. KBGR
    KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
  • D. 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.
  • E. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • 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: KBGM
Triple: [Greater Binghamton Airport, ICAOcode, KBGM]
Generated description
KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KBGM
Target entity description: KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
  • A. KMGM
    KMGM is the ICAO airport code for Montgomery Regional Airport, a public airport serving Montgomery, Alabama.
  • B. BKGMF
    BKGMF is the over-the-counter ticker symbol for Bank of Guam, a regional financial institution serving Guam and other Pacific island communities.
  • C. KBGR
    KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
  • D. 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.
  • E. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d86f03ac8190b4307156ab65a276 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe28dc88190a9c7794b78374ecf completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c736684f848190a5fb1b82e152b8a5 completed March 28, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69c736d828f88190a388d559c673861a completed March 28, 2026, 2:03 a.m.
Created at: March 27, 2026, 2:20 p.m.