Triple
T31436992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Amir |
E801960
|
entity |
| Predicate | politicalRivals |
P74162
|
FINISHED |
| Object | other central Arabian 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: other central Arabian tribes | Statement: [Banu Amir, politicalRivals, other central Arabian tribes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalRivals Context triple: [Banu Amir, politicalRivals, other central Arabian tribes]
-
A.
politicalRivalOf
chosen
Indicates a relationship in which two political actors or groups compete against or oppose each other for power, influence, or office.
-
B.
electoralOpponents
Indicates that two or more parties or candidates are competing against each other in the same election.
-
C.
opponentPolities
Indicates that two polities are in opposition to each other, typically as rivals or enemies in a political, military, or diplomatic context.
-
D.
rivalParty
Indicates that one party is in competition or opposition with another party, often pursuing conflicting goals or interests.
-
E.
opposingLeaders
Indicates that two leaders are in opposition to each other, typically representing rival or conflicting sides in a situation or context.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 30, 2026, 9:02 p.m.