Triple
T30747188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bábí Faith |
E782843
|
entity |
| Predicate | hasSacredFigureTitle |
P114897
|
FINISHED |
| Object | the Báb |
—
|
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: the Báb | Statement: [Bábí Faith, hasSacredFigureTitle, the Báb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSacredFigureTitle Context triple: [Bábí Faith, hasSacredFigureTitle, the Báb]
-
A.
hasShrineTitle
Indicates that an entity holds or is associated with a specific honorific or formal title used in the context of a shrine.
-
B.
hasSacredImage
Indicates that one entity possesses or is associated with an image regarded as sacred or religiously significant.
-
C.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
-
D.
hasClericTitle
chosen
Indicates that an entity holds or is designated by a specific clerical or religious title in relation to another entity or context.
-
E.
hasSacredNumber
Indicates that a particular number is regarded as sacred, holy, or spiritually significant in relation to an entity.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 8:38 p.m.