Triple
T26050539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusaybah bint Ka‘b al-Ansariyyah |
E647960
|
entity |
| Predicate | roleInBattleOfUhud |
P87138
|
FINISHED |
| Object | fought with sword and bow |
—
|
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: fought with sword and bow | Statement: [Nusaybah bint Ka‘b al-Ansariyyah, roleInBattleOfUhud, fought with sword and bow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfUhud Context triple: [Nusaybah bint Ka‘b al-Ansariyyah, roleInBattleOfUhud, fought with sword and bow]
-
A.
roleAtBattleOfUhud
chosen
Indicates the specific role, position, or function an entity held or performed during the Battle of Uhud.
-
B.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
-
C.
sideInBattleOfBadr
Indicates the role or allegiance an entity had on a particular side during the Battle of Badr.
-
D.
sideInBattleOfSiffin
Indicates that an entity was aligned with or fought on a particular side during the Battle of Siffin.
-
E.
roleInTreatyOfHudaybiyyah
Indicates that an entity held a specific role, function, or involvement in the events or agreements associated with the Treaty of Hudaybiyyah.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 22, 2026, 9:11 a.m.