Triple
T2673203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor International Airport |
E56396
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | BGR |
E287867
|
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: BGR | Statement: [Bangor International Airport, FAAcode, BGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGR Context triple: [Bangor International Airport, FAAcode, BGR]
-
A.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
B.
BGR
chosen
BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
-
C.
KBGR
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
-
D.
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
E.
BGY
BGY is the IATA airport code for Milan Bergamo Airport, a major low-cost and regional air travel hub serving the Milan metropolitan area in northern Italy.
- 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_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_69afaf54711881909936ecf850ff6e2e |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:54 p.m.