Triple
T8955496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Omari Mosque |
E213460
|
entity |
| Predicate | regionReligiousRole |
P85857
|
FINISHED |
| Object | major Sunni mosque in Gaza Strip |
—
|
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: major Sunni mosque in Gaza Strip | Statement: [Great Omari Mosque, regionReligiousRole, major Sunni mosque in Gaza Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionReligiousRole Context triple: [Great Omari Mosque, regionReligiousRole, major Sunni mosque in Gaza Strip]
-
A.
associatedReligionRole
Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
-
B.
religiousOrientationRole
Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
-
C.
eraOfReligiousFunction
Indicates the historical time period during which a religious role, office, or function was actively performed or held.
-
D.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
E.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
- F. None of above. chosen
Provenance (4 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6726cec48190a900ae52b1522adb |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7 p.m.