Triple
T35096122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muslim Filipinos |
E1012870
|
entity |
| Predicate | mainProphet |
P17296
|
FINISHED |
| Object | Muhammad |
—
|
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: Muhammad | Statement: [Muslim Filipinos, mainProphet, Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProphet Context triple: [Muslim Filipinos, mainProphet, Muhammad]
-
A.
prophetAmong
Indicates that one entity serves as a prophet within, or in relation to, a particular group, community, or people represented by the other entity.
-
B.
metProphet
Indicates that one entity has personally encountered or come into direct contact with the prophet.
-
C.
sharesProphet
Indicates that two entities recognize or are associated with the same prophet.
-
D.
followsProphet
chosen
Indicates that one entity accepts the guidance or teachings of, and adheres to the leadership or example set by, a prophet.
-
E.
featuresProphet
Indicates that an entity includes, highlights, or prominently presents another entity referred to as "Prophet" as a key feature or component.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:01 p.m.