Triple
T28790133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaʿfar ibn Abi Talib |
E726927
|
entity |
| Predicate | roleInBattleOfMuʾtah |
P197294
|
FINISHED |
| Object | standard-bearer of the 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: standard-bearer of the Muslim army | Statement: [Jaʿfar ibn Abi Talib, roleInBattleOfMuʾtah, standard-bearer of the Muslim army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfMuʾtah Context triple: [Jaʿfar ibn Abi Talib, roleInBattleOfMuʾtah, standard-bearer of the Muslim army]
-
A.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
-
B.
sideInBattleOfSiffin
Indicates that an entity was aligned with or fought on a particular side during the Battle of Siffin.
-
C.
roleAtBattleOfUhud
Indicates the specific role, position, or function an entity held or performed during the Battle of Uhud.
-
D.
sideInBattleOfBadr
Indicates the role or allegiance an entity had on a particular side during the Battle of Badr.
-
E.
sideInBattleOfYarmouk
Indicates that an entity participated as a side (belligerent) in the Battle of Yarmouk.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
| PDg | Predicate description generation | batch_69fe86c98d688190a99d5dcb14e2dc95 |
completed | May 9, 2026, 12:58 a.m. |
Created at: April 28, 2026, 6:23 a.m.