Triple
T22380862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Beaucaire |
E553268
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tarascon |
—
|
NE NERFINISHED |
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: Tarascon | Statement: [Château de Beaucaire, locatedNear, Tarascon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarascon Context triple: [Château de Beaucaire, locatedNear, Tarascon]
-
A.
Tarascon
chosen
Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
-
B.
Tarascon-sur-Ariège
Tarascon-sur-Ariège is a small commune in southwestern France, nestled in the Pyrenees along the Ariège River and known for its scenic mountain surroundings and historic architecture.
-
C.
Carnoules
Carnoules is a small commune in the Var department of southeastern France, situated inland from the Mediterranean coast in the Provence-Alpes-Côte d’Azur region.
-
D.
Vaison-la-Romaine
Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
-
E.
Souillac
Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.