Triple
T10239528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Diaw |
E243550
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Pau-Orthez |
E439400
|
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: Pau-Orthez | Statement: [Boris Diaw, playedFor, Pau-Orthez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pau-Orthez Context triple: [Boris Diaw, playedFor, Pau-Orthez]
-
A.
Pau
Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
-
B.
Pau
Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
-
C.
Hendaye
Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
-
D.
Aire-sur-l’Adour
Aire-sur-l’Adour is a historic town in southwestern France, known as an important Gallo-Roman and medieval center in Gascony.
-
E.
Orthez
chosen
Orthez is a historic town in southwestern France’s Pyrénées-Atlantiques department, known for its medieval architecture and its role in the Napoleonic Wars.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21ca3008190bfbde4074b37592d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f776464881908957e1ac4b49d936 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:23 a.m.