Triple
T13083216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabiriyya |
E310262
|
entity |
| Predicate | positionWithinIslam |
P26930
|
FINISHED |
| Object | minority school |
—
|
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: minority school | Statement: [Tabiriyya, positionWithinIslam, minority school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinIslam Context triple: [Tabiriyya, positionWithinIslam, minority school]
-
A.
positionInIslam
chosen
Indicates the specific religious role, rank, or status an entity holds within the context of Islam.
-
B.
positionOnIslam
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.
interpretationInIslam
Indicates the religious understanding, explanation, or doctrinal meaning of something specifically within the framework of Islamic belief and scholarship.
-
E.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:02 p.m.