Triple
T5108904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Aigoual |
E115165
|
entity |
| Predicate | locatedInDepartment |
P40
|
FINISHED |
| Object | Gard |
E89752
|
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: Gard | Statement: [Mont Aigoual, locatedInDepartment, Gard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gard Context triple: [Mont Aigoual, locatedInDepartment, Gard]
-
A.
Gard
chosen
Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
-
B.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
C.
Orry
Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
-
D.
Goytre
Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
-
E.
Toft
Toft is a location that serves as one end of the Yell Sound ferry connection in the Shetland Islands, Scotland.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bebaa322d08190911dd2ca91405c3c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.