Triple
T29797021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis Wen of Wei |
E756580
|
entity |
| Predicate | militaryRival |
P179499
|
FINISHED |
| Object | State of Qin |
—
|
NE NERFINISHED |
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: State of Qin | Statement: [Marquis Wen of Wei, militaryRival, State of Qin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRival Context triple: [Marquis Wen of Wei, militaryRival, State of Qin]
-
A.
geopoliticalRival
Indicates that two geopolitical entities are in a state of strategic opposition or competition, often involving conflicting interests, influence, or power on the international stage.
-
B.
allianceOrRivalry
Indicates a relationship where entities are either cooperating as allies or competing as rivals, capturing both partnership and opposition dynamics.
-
C.
archenemyOf
Indicates a relationship in which one entity is the principal or most important enemy of another, often characterized by deep, ongoing opposition or rivalry.
-
D.
rivalryCharacterizedBy
Indicates a relationship where a rivalry is defined or distinguished by a particular feature, quality, or circumstance.
-
E.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 29, 2026, 5:16 p.m.