Triple
T27754468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San José copper–gold mine |
E701300
|
entity |
| Predicate | hasRescueOperation |
P151421
|
FINISHED |
| Object | 2010 Chilean mine rescue |
—
|
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: 2010 Chilean mine rescue | Statement: [San José copper–gold mine, hasRescueOperation, 2010 Chilean mine rescue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRescueOperation Context triple: [San José copper–gold mine, hasRescueOperation, 2010 Chilean mine rescue]
-
A.
rescueOperation
chosen
Indicates an action where one entity undertakes efforts to save or free another entity from danger, harm, or a threatening situation.
-
B.
rescueOperationName
Indicates the designated name or title assigned to a specific rescue operation.
-
C.
hasRescueServices
Indicates that one entity provides or is equipped with rescue or emergency response services for another entity or area.
-
D.
attemptedRescueBy
Indicates an action where one entity made an effort to save or free another entity from danger, harm, or a problematic situation.
-
E.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 27, 2026, 4:22 p.m.