Triple
T25659459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shia Imams |
E643336
|
entity |
| Predicate | numberOfImamsInZaydiShia |
P50074
|
FINISHED |
| Object | varies |
—
|
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: varies | Statement: [Shia Imams, numberOfImamsInZaydiShia, varies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImamsInZaydiShia Context triple: [Shia Imams, numberOfImamsInZaydiShia, varies]
-
A.
numberOfImams
chosen
Indicates the count of distinct imams associated with or relevant to a given entity or context.
-
B.
hasNumberOfMosques
Indicates the quantity of mosques associated with a given entity.
-
C.
associatedWithImamNumber
Indicates a relationship where an entity is linked to, or identified by, a specific numbered Imam in a sequence of Imams.
-
D.
consideredShiaSectBy
Indicates that one group or authority regards or classifies another group as belonging to the Shia branch or a Shia sect of Islam.
-
E.
regardedAsImamBy
Indicates that one entity is considered or recognized as an imam (religious leader) by another 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 21, 2026, 6:50 p.m.