Triple
T498168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camargue |
E10340
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Arles |
E28998
|
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: Arles | Statement: [Camargue, locatedNear, Arles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arles Context triple: [Camargue, locatedNear, Arles]
-
A.
Arles
chosen
Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
-
B.
Saint-Rémy-de-Provence
Saint-Rémy-de-Provence is a historic town in southern France known for its Provençal landscapes and as a place where Vincent van Gogh lived and painted several masterpieces.
-
C.
Avignon
Avignon is a historic city in southeastern France renowned for its medieval architecture, including the Palais des Papes, and its role as a former seat of the papacy.
-
D.
Antibes
Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
-
E.
Loulé
Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089817248190b53d78e5b937026b |
completed | March 2, 2026, 3:48 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.