Triple
T29845236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina San José |
E757911
|
entity |
| Predicate | headOfStateDuringAccident |
P169331
|
FINISHED |
| Object | Sebastián Piñera |
—
|
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: Sebastián Piñera | Statement: [Mina San José, headOfStateDuringAccident, Sebastián Piñera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfStateDuringAccident Context triple: [Mina San José, headOfStateDuringAccident, Sebastián Piñera]
-
A.
headOfStateDuringOperation
Indicates that a person served as the head of state of a country for the duration of a specified operation or event.
-
B.
headOfStateAfterEvent
Indicates the person who serves as the head of state of an entity following a specified event.
-
C.
headOfStateInvolvedInProcess
Indicates that a head of state participates in, influences, or is otherwise involved in a specified process or procedure.
-
D.
headOfStateDuringReign
Indicates that one entity served as the head of state for another entity during a specified reign or ruling period.
-
E.
headOfStateDuringConstruction
Indicates that a person was the head of state of a political entity during the period when a specific structure or project was being constructed.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 5:41 p.m.