Triple
T17289259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canet castle |
E419739
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Canet-en-Roussillon |
E86561
|
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: Canet-en-Roussillon | Statement: [Canet castle, locatedIn, Canet-en-Roussillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canet-en-Roussillon Context triple: [Canet castle, locatedIn, Canet-en-Roussillon]
-
A.
Canet-en-Roussillon
chosen
Canet-en-Roussillon is a coastal commune and popular Mediterranean seaside resort in southern France’s Pyrénées-Orientales department.
-
B.
Céret
Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
-
C.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
-
D.
Canet-de-Salars
Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
-
E.
Solliès-Pont
Solliès-Pont is a commune in the Var department of southeastern France, known for its Provençal character and fig production.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43782b7ac8190b702567e9ccf9a35 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d49ff08190bd73245adfb86760 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.