Triple
T2673201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor International Airport |
E56396
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BGR
BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
|
E287867
|
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: BGR | Statement: [Bangor International Airport, IATAcode, BGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGR Context triple: [Bangor International Airport, IATAcode, BGR]
-
A.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
B.
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
C.
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.
-
D.
SBGR
SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
-
E.
RE / BL
RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
- 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: BGR Triple: [Bangor International Airport, IATAcode, BGR]
Generated description
BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BGR Target entity description: BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
-
A.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
B.
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
C.
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.
-
D.
SBGR
SBGR is the ICAO airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
-
E.
RE / BL
RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
- 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.