Triple
T4250701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comte (France) |
E95841
|
entity |
| Predicate | usedBeforeFrenchRevolution |
P54954
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Comte (France), usedBeforeFrenchRevolution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBeforeFrenchRevolution Context triple: [Comte (France), usedBeforeFrenchRevolution, true]
-
A.
preRevolutionOccupation
Indicates the occupation or role a person held before a specific revolution or revolutionary event.
-
B.
ownerDuringRevolution
Indicates that one entity was the owner of another entity specifically during a defined revolutionary period.
-
C.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
D.
restoredMonarchy
Indicates that an entity caused or participated in the re-establishment of a previously abolished or suspended monarchy.
-
E.
significanceForFrance
Indicates that something holds particular importance, impact, or relevance specifically in the context of France.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9f11008190a0021e0ad730a79d |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.