Triple
T2533533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential sash of Peru |
E56217
|
entity |
| Predicate | predecessorTransfers |
P97
|
FINISHED |
| Object | outgoing 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: outgoing president of Peru | Statement: [Presidential sash of Peru, predecessorTransfers, outgoing president of Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorTransfers Context triple: [Presidential sash of Peru, predecessorTransfers, outgoing president of Peru]
-
A.
predecessorSeries
Indicates that one series directly precedes another in an ordered sequence or lineage.
-
B.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorState
Indicates that one state directly precedes another in a sequence or process.
-
D.
predecessorInfrastructureOwner
Indicates that one infrastructure owner previously held ownership or responsibility before another in a temporal succession.
-
E.
predecessorAsClaimant
Indicates that one entity previously held the status or role of claimant before another entity in a succession or sequence of claims.
- 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_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. |
Created at: March 6, 2026, 9:47 p.m.