Triple
T33766062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Wenzong of Tang |
E865232
|
entity |
| Predicate | courtFactionConflict |
P72693
|
FINISHED |
| Object | Niu Faction |
—
|
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: Niu Faction | Statement: [Emperor Wenzong of Tang, courtFactionConflict, Niu Faction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtFactionConflict Context triple: [Emperor Wenzong of Tang, courtFactionConflict, Niu Faction]
-
A.
courtFaction
Indicates a relationship where an entity is aligned with, belongs to, or is associated with a particular political or social faction within a court or ruling body.
-
B.
courtIntrigue
Indicates involvement in complex, often secretive political maneuvering, alliances, and rivalries within a royal or noble court.
-
C.
courtIssue
Indicates that a court formally issues or hands down a legal document, order, ruling, or decision to the relevant parties.
-
D.
facedConflictOver
chosen
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
-
E.
frontierDispute
Indicates a conflict or disagreement between entities over the location, control, or status of a shared boundary or border.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.