Triple
T8689120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux–Mérignac Airport |
E206239
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mérignac |
E238606
|
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: Mérignac | Statement: [Bordeaux–Mérignac Airport, locatedIn, Mérignac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mérignac Context triple: [Bordeaux–Mérignac Airport, locatedIn, Mérignac]
-
A.
Mérignac
chosen
Mérignac is a suburban city in southwestern France, forming part of the Bordeaux metropolitan area and hosting the region’s main international airport.
-
B.
Blaye
Blaye is a wine-producing area on the right bank of the Gironde estuary in southwestern France, known for its red and white Bordeaux wines and historic citadel.
-
C.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
-
D.
Blagnac
Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
-
E.
Saint-Junien
Saint-Junien is a commune in west-central France known for its historical leather and glove-making industry and its location along the Vienne River.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3d6904c8190a8456a99dae87bf2 |
completed | April 2, 2026, 10:55 p.m. |
Created at: March 30, 2026, 6:33 p.m.