Triple
T1947665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White movement |
E42091
|
entity |
| Predicate | includesFaction |
P25766
|
FINISHED |
| Object | monarchists |
—
|
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: monarchists | Statement: [White movement, includesFaction, monarchists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFaction Context triple: [White movement, includesFaction, monarchists]
-
A.
hasFaction
chosen
Indicates that an entity is affiliated with, belongs to, or is represented by a particular faction or group.
-
B.
hasMajorFaction
Indicates that an entity possesses or is associated with a primary or dominant faction within a given context.
-
C.
includesTeam
Indicates that a group, project, or organization has a specific team as one of its constituent members or components.
-
D.
hasOpposingForceType
Indicates that one force is characterized as being of a type that opposes or counteracts another force.
-
E.
hasMilitaryDivision
Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb33040c881908f42e80cbe1b1aca |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.