Triple
T6665695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fath Makkah |
E151595
|
entity |
| Predicate | commandedForceSize |
P36039
|
FINISHED |
| Object | approximately 10,000 Muslims |
—
|
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: approximately 10,000 Muslims | Statement: [Fath Makkah, commandedForceSize, approximately 10,000 Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandedForceSize Context triple: [Fath Makkah, commandedForceSize, approximately 10,000 Muslims]
-
A.
commandedForcesOf
Indicates that one entity held command authority over the military or armed forces associated with another entity.
-
B.
commandingForce2Strength
chosen
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
C.
commandingForce1Strength
Indicates that one entity has a certain level or measure of strength in its role as the primary commanding force over another entity or situation.
-
D.
commandedFormation
Indicates that one entity held command authority over a specific military or organizational formation.
-
E.
squadronSize
Indicates the number of units or members that make up a particular squadron.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:02 p.m.