Triple
T26488664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Ouray |
E664895
|
entity |
| Predicate | approachToConflict |
P71907
|
FINISHED |
| Object | advocated peaceful negotiation over armed resistance |
—
|
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: advocated peaceful negotiation over armed resistance | Statement: [Chief Ouray, approachToConflict, advocated peaceful negotiation over armed resistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToConflict Context triple: [Chief Ouray, approachToConflict, advocated peaceful negotiation over armed resistance]
-
A.
approachToDisagreement
chosen
Indicates how an entity tends to respond or behave when faced with a disagreement or conflict with another entity.
-
B.
addressedConflictWith
Indicates that one entity has taken action to confront, manage, or resolve a conflict involving another entity.
-
C.
conflictManagementMechanism
Indicates a relationship where a method, process, or system is used to prevent, manage, or resolve conflicts between parties or interests.
-
D.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
E.
conflictGoal
Indicates a relationship where one entity’s goal is incompatible with, obstructs, or opposes another entity’s goal.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 12:32 a.m.