Triple
T10497593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section Paloise |
E247578
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Aviron Bayonnais |
E837538
|
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: Aviron Bayonnais | Statement: [Section Paloise, hasRivalryWith, Aviron Bayonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aviron Bayonnais Context triple: [Section Paloise, hasRivalryWith, Aviron Bayonnais]
-
A.
Aviron Bayonnais
chosen
Aviron Bayonnais is a French professional rugby union club based in Bayonne, known for its Basque identity and participation in the country’s top rugby competitions.
-
B.
Nicollier
Nicollier is the surname of Claude Nicollier, a Swiss astrophysicist and former ESA astronaut known for his Space Shuttle missions and work on the Hubble Space Telescope.
-
C.
Garneau
Garneau is a French-Canadian surname notably borne by figures such as astronaut and politician Marc Garneau.
-
D.
Arcour
Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
-
E.
Bayonnais
Bayonnais refers to the inhabitants or natives of Bayonne, a historic city in southwestern France near the Atlantic coast and the Spanish border.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcc5816c8190a6a3927797942266 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:25 p.m.