Triple
T18385917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Binghamton Airport |
E446589
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | KBGM |
E624215
|
NE FINISHED |
How this triple was built (2 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.
KBGM
chosen
KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
-
B.
KBKF
KBKF is the ICAO airport code for Buckley Space Force Base, a U.S. military installation and airfield located in Aurora, Colorado.
-
C.
KMGM
KMGM is the ICAO airport code for Montgomery Regional Airport, a public airport serving Montgomery, Alabama.
-
D.
BKGMF
BKGMF is the over-the-counter ticker symbol for Bank of Guam, a regional financial institution serving Guam and other Pacific island communities.
-
E.
KGM
KGM is the three-letter National Rail station code assigned to Kingham railway station in Oxfordshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a00c608190a8f0010c7b53df90 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d784b3008190b84905ed433d846d |
completed | May 13, 2026, 1:44 a.m. |
Created at: April 10, 2026, 10:46 a.m.