Triple
T717402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Gers |
E64830
|
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: Gers | Statement: [Occitanie, traversedByRiver, Gers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gers Context triple: [Occitanie, traversedByRiver, Gers]
-
A.
Gers
chosen
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
B.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
-
C.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
D.
Goettsch
Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
-
E.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63757e5848190b7c11820f67b20a7 |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.