Triple
T11631979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellingham International Airport |
E276419
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | BLI |
E21751
|
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: BLI | Statement: [Bellingham International Airport, IATAcode, BLI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLI Context triple: [Bellingham International Airport, IATAcode, BLI]
-
A.
BLI
chosen
BLI is the commonly used abbreviation for the OECD Better Life Index, an interactive tool that compares well-being across countries using multiple quality-of-life indicators.
-
B.
Blender
Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
-
C.
Blender
Blender is a song by the American rock band Collective Soul.
-
D.
BLC
BLC is the commonly used abbreviation for the Boston Landmarks Commission, the city agency responsible for identifying and protecting Boston’s historic buildings and districts.
-
E.
BRL
BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25aa9188190ab13d79139f37e7e |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87b12044819098a858edb2b16689 |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.