Triple
T9668026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Muye |
E233753
|
entity |
| Predicate | hasAllegedForceSize |
P49546
|
FINISHED |
| Object | Zhou army of tens of thousands |
—
|
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: Zhou army of tens of thousands | Statement: [Battle of Muye, hasAllegedForceSize, Zhou army of tens of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllegedForceSize Context triple: [Battle of Muye, hasAllegedForceSize, Zhou army of tens of thousands]
-
A.
hasApproximateDefendingForceSize
Indicates that an entity is associated with a defending force whose size is known only approximately rather than as an exact value.
-
B.
forceSize
chosen
Indicates a relationship where one entity specifies or constrains the magnitude or size of a force associated with another entity.
-
C.
numberOfIndictedPersonsApproximate
Indicates an approximate count of persons who have been formally indicted in a given context or case.
-
D.
hasAllegedDuration
Indicates that a specified length of time is claimed or reported for something, but not confirmed as factual.
-
E.
hasForceInterventionBrigade
Indicates that an entity includes or is supported by a designated force intervention brigade as part of its operational structure or mission.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.