Triple
T17803786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Cerami |
E444500
|
entity |
| Predicate | strengthMuslims |
P128984
|
FINISHED |
| Object | much larger Muslim army |
—
|
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: much larger Muslim army | Statement: [Battle of Cerami, strengthMuslims, much larger Muslim army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthMuslims Context triple: [Battle of Cerami, strengthMuslims, much larger Muslim army]
-
A.
viewOnOtherMuslims
Indicates how an individual perceives, judges, or holds attitudes toward other Muslims.
-
B.
viewedAsByMuslims
Indicates that something is regarded or perceived in a particular way specifically by Muslims.
-
C.
positionInIslam
Indicates the specific religious role, rank, or status an entity holds within the context of Islam.
-
D.
statusAfterIslam
Indicates the state or condition an entity has after adopting or entering into Islam, as contrasted with its prior status.
-
E.
positionOnIslam
Indicates the stance, viewpoint, or attitude that an entity holds toward Islam.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48802bcfc8190a138164d11081ab8 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:14 a.m.