Triple
T16777235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gers River |
E407757
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Fleurance |
E1209725
|
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: Fleurance | Statement: [Gers River, flowsThrough, Fleurance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleurance Context triple: [Gers River, flowsThrough, Fleurance]
-
A.
Fleurance
chosen
Fleurance is a small commune in southwestern France’s Gers department, known for its bastide layout and agricultural surroundings.
-
B.
Digne-les-Bains
Digne-les-Bains is a spa town in southeastern France that serves as the administrative and cultural center of the Alpes-de-Haute-Provence department.
-
C.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
D.
Divonne-les-Bains
Divonne-les-Bains is a French spa town in eastern France near the Swiss border, known for its thermal baths, casino, and proximity to Lake Geneva.
-
E.
Sorgues
Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0911488190a65c1dc536b6ea3e |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.