Triple
T32538726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modern France |
E831658
|
entity |
| Predicate | isSecularState |
P115489
|
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: [modern France, isSecularState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecularState Context triple: [modern France, isSecularState, true]
-
A.
hasSecularStatus
chosen
Indicates that an entity holds a non-religious, secular standing or classification within a given context.
-
B.
hasSecularRank
Indicates that one entity holds a specific position or level within a non-religious (secular) hierarchy relative to another entity.
-
C.
hasSecularUse
Indicates that something is used in a non-religious, worldly, or secular context or purpose.
-
D.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
E.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c579194c819096d249335b3ccf6d |
completed | May 3, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.