Triple
T19030100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Remèze |
E465711
|
entity |
| Predicate | hasDepartmentCapital |
P29912
|
FINISHED |
| Object | Privas |
—
|
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: Privas | Statement: [Saint-Remèze, hasDepartmentCapital, Privas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Privas Context triple: [Saint-Remèze, hasDepartmentCapital, Privas]
-
A.
Privas
chosen
Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
-
B.
Priva
Priva is a leading Dutch company specializing in climate and process control technologies for greenhouses and sustainable building management.
-
C.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
D.
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
E.
Paravaqar
Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.