Triple
T8670154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Badr site |
E205773
|
entity |
| Predicate | numberOfMuslimFightersApprox |
P83999
|
FINISHED |
| Object | about 313 |
—
|
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: about 313 | Statement: [Battle of Badr site, numberOfMuslimFightersApprox, about 313]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMuslimFightersApprox Context triple: [Battle of Badr site, numberOfMuslimFightersApprox, about 313]
-
A.
alQaedaCasualties
Indicates that the relationship specifies the number or occurrence of casualties suffered by al-Qaeda members or forces in a given event or context.
-
B.
militantCasualtiesEstimate
Indicates an estimated number of militants who have been killed, wounded, or otherwise rendered casualties in a conflict or operation.
-
C.
populationShareOfMuslims
Indicates the proportion of a given population that is composed of Muslims.
-
D.
numberOfImams
Indicates the count of distinct imams associated with or relevant to a given entity or context.
-
E.
numberOfSuicideBombers
Indicates the quantity of individuals who carry out or are intended to carry out suicide bombing attacks.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4917cb9881909a73b74e54250613 |
completed | March 31, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:31 p.m.