Triple
T27324025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdur-Rahman ibn Awf |
E689590
|
entity |
| Predicate | statusInBattleOfBadr |
P72232
|
FINISHED |
| Object | veteran of Badr |
—
|
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: veteran of Badr | Statement: [Abdur-Rahman ibn Awf, statusInBattleOfBadr, veteran of Badr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInBattleOfBadr Context triple: [Abdur-Rahman ibn Awf, statusInBattleOfBadr, veteran of Badr]
-
A.
sideInBattleOfBadr
chosen
Indicates the role or allegiance an entity had on a particular side during the Battle of Badr.
-
B.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
-
C.
sideInBattleOfYarmouk
Indicates that an entity participated as a side (belligerent) in the Battle of Yarmouk.
-
D.
sideInBattleOfMarjRahit
Indicates that an entity participated as a side or faction in the Battle of Marj Rahit.
-
E.
resultOfBattle
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 27, 2026, 11:34 a.m.