Triple
T15679099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occultation |
E377523
|
entity |
| Predicate | normativeStatusIn |
P33854
|
FINISHED |
| Object | orthodox Twelver Shia creed |
—
|
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: orthodox Twelver Shia creed | Statement: [Occultation, normativeStatusIn, orthodox Twelver Shia creed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normativeStatusIn Context triple: [Occultation, normativeStatusIn, orthodox Twelver Shia creed]
-
A.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
B.
nominalStatus
Indicates that an entity holds a particular title, label, or status in name or designation, without necessarily implying associated functions or actions.
-
C.
normativelyIncludes
Indicates that one norm or rule encompasses, subsumes, or otherwise includes another within its prescribed scope or requirements.
-
D.
canonicalStatusIn
chosen
Indicates that something has a particular canonical or officially recognized status within a specified context or system.
-
E.
isNormalIn
Indicates that one group is a normal subgroup of another group, meaning it is invariant under conjugation by elements of the larger group.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.