Triple
T10497461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gave de Pau |
E247575
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | 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: Orthez | Statement: [Gave de Pau, flowsThrough, Orthez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orthez Context triple: [Gave de Pau, flowsThrough, Orthez]
-
A.
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.
-
B.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
-
C.
Gradignan
Gradignan is a suburban commune in southwestern France’s Gironde department, forming part of the Bordeaux metropolitan area and known for its green spaces and wine-growing surroundings.
-
D.
Saint-Céré
Saint-Céré is a small historic town in the Lot department of southwestern France, known for its medieval architecture and picturesque setting in the Dordogne Valley.
-
E.
Cazères
Cazères is a small commune in southwestern France situated in the Haute-Garonne department, known for its location along the Garonne 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_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_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:25 p.m.