Triple
T6569682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Ghatafan |
E155400
|
entity |
| Predicate | militaryAlliances |
P52816
|
FINISHED |
| Object | coalitions with other Najdi tribes |
—
|
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: coalitions with other Najdi tribes | Statement: [Banu Ghatafan, militaryAlliances, coalitions with other Najdi tribes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryAlliances Context triple: [Banu Ghatafan, militaryAlliances, coalitions with other Najdi tribes]
-
A.
alliesInWar
Indicates that two or more parties are cooperating as allies on the same side in a specific war or armed conflict.
-
B.
majorAllies
Indicates that the entities are principal or primary allies, signifying a strong, significant, and mutually supportive alliance between them.
-
C.
historicallyAlliedWith
Indicates that two entities have been political, military, or strategic allies during some period in the past.
-
D.
alliance
Indicates a formal cooperative relationship between entities who agree to support each other in shared goals or interests.
-
E.
alliedGroups
chosen
Indicates that two or more groups are formally cooperating or aligned in support of shared goals or interests.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.