Triple
T25289928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansoor |
E634051
|
entity |
| Predicate | typicalBearersReligion |
P25219
|
FINISHED |
| Object | Muslim |
—
|
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: Muslim | Statement: [Mansoor, typicalBearersReligion, Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBearersReligion Context triple: [Mansoor, typicalBearersReligion, Muslim]
-
A.
bearerReligion
chosen
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
B.
majorReligionCanBe
Indicates that an entity can have a particular major religion as one of its possible primary religious affiliations.
-
C.
titleHolderReligion
Indicates the religious affiliation associated with the holder of a particular title.
-
D.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
E.
orderReligion
Indicates that one entity prescribes, organizes, or regulates the religious practices, beliefs, or structure of 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 21, 2026, 1:21 p.m.