Triple
T22405608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Orange |
E553872
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Piolenc |
—
|
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: Piolenc | Statement: [canton of Orange, contains, Piolenc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piolenc Context triple: [canton of Orange, contains, Piolenc]
-
A.
Piolenc
chosen
Piolenc is a commune in southeastern France’s Vaucluse department, known for its Provençal vineyards, garlic production, and Mediterranean rural character.
-
B.
Pelariga
Pelariga is a civil parish within the municipality of Pombal in central Portugal.
-
C.
Oncino
Oncino is a small Italian municipality located in the mountainous upper reaches of the Po Valley in the Piedmont region.
-
D.
Palvico
Palvico is a mountain stream in northern Italy known for its narrow gorge, waterfalls, and popularity for canyoning and adventure sports.
-
E.
Pacanne
Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b739b88190a7f1f20fd1e9b188 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.