Triple
T4970886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouergue |
E111644
|
entity |
| Predicate | preFrenchRevolutionStatus |
P54954
|
FINISHED |
| Object | province |
—
|
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: province | Statement: [Rouergue, preFrenchRevolutionStatus, province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preFrenchRevolutionStatus Context triple: [Rouergue, preFrenchRevolutionStatus, province]
-
A.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
B.
continuedInPostRevolutionaryFrance
Indicates that an action, practice, or relationship persisted into the period following the French Revolution in France.
-
C.
usedBeforeFrenchRevolution
chosen
Indicates that something was in use or practiced prior to the onset of the French Revolution.
-
D.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
E.
restoredMonarchy
Indicates that an entity caused or participated in the re-establishment of a previously abolished or suspended monarchy.
- F. None of above.
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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.