Triple
T27374933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-As ibn Wa’il |
E691036
|
entity |
| Predicate | religiousStanceTowardIslam |
P50179
|
FINISHED |
| Object | did not accept Islam |
—
|
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: did not accept Islam | Statement: [al-As ibn Wa’il, religiousStanceTowardIslam, did not accept Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousStanceTowardIslam Context triple: [al-As ibn Wa’il, religiousStanceTowardIslam, did not accept Islam]
-
A.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
B.
positionOnIslam
chosen
Indicates the stance, viewpoint, or attitude that an entity holds toward Islam.
-
C.
relationToIslam
Indicates how an entity is connected or related to Islam, such as through belief, practice, affiliation, or influence.
-
D.
religiousCounterpart
Indicates that one entity serves as the religious equivalent or analogue of another entity within a different belief system or tradition.
-
E.
religiousResponse
Indicates a reaction, behavior, or expression that is specifically motivated by, shaped by, or directed toward religious beliefs, practices, or experiences.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 27, 2026, 12:20 p.m.