Triple
T2533534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential sash of Peru |
E56217
|
entity |
| Predicate | successorReceives |
P40919
|
FINISHED |
| Object | incoming president of Peru |
—
|
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: incoming president of Peru | Statement: [Presidential sash of Peru, successorReceives, incoming president of Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorReceives Context triple: [Presidential sash of Peru, successorReceives, incoming president of Peru]
-
A.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
B.
successorUse
Indicates that one entity is used or applied as the subsequent or follow-up use of another entity in a sequence or lifecycle.
-
C.
successorProtocol
Indicates that one protocol directly follows and replaces another in sequence or versioning.
-
D.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
E.
successorProcess
Indicates that one process directly follows another in a defined sequence or workflow.
- F. None of above. chosen
Provenance (4 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd648487881908ce8ca22def77294 |
completed | March 7, 2026, 7:39 a.m. |
Created at: March 6, 2026, 9:47 p.m.