Triple
T7412479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarascon-sur-Ariège |
E171043
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Foix arrondissement |
E92446
|
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: Foix arrondissement | Statement: [Tarascon-sur-Ariège, partOf, Foix arrondissement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foix arrondissement Context triple: [Tarascon-sur-Ariège, partOf, Foix arrondissement]
-
A.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
B.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
C.
Saint-Fons
Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
-
D.
Saint-Fargeau
Saint-Fargeau is a historic commune in north-central France, noted for its impressive Renaissance château and picturesque rural setting.
-
E.
Foix
chosen
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.