Triple
T31849777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quanrong invasion |
E813034
|
entity |
| Predicate | causeOrMotive |
P6699
|
FINISHED |
| Object | raiding and pressure on Western Zhou frontiers |
—
|
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: raiding and pressure on Western Zhou frontiers | Statement: [Quanrong invasion, causeOrMotive, raiding and pressure on Western Zhou frontiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOrMotive Context triple: [Quanrong invasion, causeOrMotive, raiding and pressure on Western Zhou frontiers]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
causeStatedByPerpetrators
Indicates that the stated cause or reason for an event or action is the one explicitly given by the perpetrators themselves.
-
C.
causeInStory
Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
-
D.
motive
chosen
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
E.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 30, 2026, 11:51 p.m.