Triple
T7773806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D970 road |
E179138
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Tarascon urban area |
E11137
|
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: Tarascon urban area | Statement: [D970 road, passesThrough, Tarascon urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarascon urban area Context triple: [D970 road, passesThrough, Tarascon urban area]
-
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.
Cavaillon
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
-
D.
Carpentras
Carpentras is a historic town in southeastern France’s Provence region, known for its medieval architecture, rich Jewish heritage, and role as a former papal territory.
-
E.
Narbonne
Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8deb3f1008190b3e64f202df421b2 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:11 p.m.