Triple
T11616565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florac |
E275523
|
entity |
| Predicate | Château de Florac_use |
P100616
|
FINISHED |
| Object | headquarters of Cévennes National Park |
—
|
LITERAL 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: headquarters of Cévennes National Park | Statement: [Florac, Château de Florac_use, headquarters of Cévennes National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Château de Florac_use Context triple: [Florac, Château de Florac_use, headquarters of Cévennes National Park]
-
A.
includesChâteau
Indicates that one entity contains, comprises, or features a château as part of its composition, membership, or contents.
-
B.
BourgesCathedralStatus
Indicates the current condition, designation, or official standing of Bourges Cathedral (e.g., active, under restoration, heritage-listed).
-
C.
cathedralLocatedIn
Indicates that a cathedral is situated within or belongs to a specific geographic or administrative location.
-
D.
cathedralChurch
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
-
E.
castleLocatedIn
Indicates that a castle is situated within or belongs to a specific geographic or administrative location.
- F. None of above. chosen
Provenance (4 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.