Triple
T12088261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor International Airport |
E287867
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | KBGR |
E287868
|
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: KBGR | Statement: [Bangor International Airport, ICAO code, KBGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBGR Context triple: [Bangor International Airport, ICAO code, KBGR]
-
A.
KBGR
chosen
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
-
B.
KGR
KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
-
C.
KBGM
KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
-
D.
KGRK
KGRK is the ICAO airport code for Robert Gray Army Airfield, a U.S. military airfield located near Killeen, Texas.
-
E.
BRG
BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915161f848190a6355c1e372eadaa |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66b2eb48190bae469d1dd82b119 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.