Triple
T34780607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Cipriano Viedma |
E1002647
|
entity |
| Predicate | partnerInMovementWith |
P24776
|
FINISHED |
| Object | Ramón Carrasco |
—
|
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: Ramón Carrasco | Statement: [General Cipriano Viedma, partnerInMovementWith, Ramón Carrasco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInMovementWith Context triple: [General Cipriano Viedma, partnerInMovementWith, Ramón Carrasco]
-
A.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
B.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
C.
partnerInLeadershipWith
Indicates that two entities share a joint leadership role or responsibility, collaborating as partners in guiding or managing an organization, group, or initiative.
-
D.
partnerInUnionWith
Indicates a mutual partnership or union relationship between two entities, such as a civil, domestic, or similar legally or socially recognized union.
-
E.
partnerInMission
chosen
Indicates that two or more entities collaborate as partners in carrying out the same mission or operation.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.