Triple
T27910643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fénix 3 |
E705916
|
entity |
| Predicate | usedToRescueFrom |
P50948
|
FINISHED |
| Object | San José copper-gold mine |
—
|
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: San José copper-gold mine | Statement: [Fénix 3, usedToRescueFrom, San José copper-gold mine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToRescueFrom Context triple: [Fénix 3, usedToRescueFrom, San José copper-gold mine]
-
A.
usedMeansToRescue
chosen
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
-
B.
seeksToRescue
Indicates an entity’s intention or effort to save or free another entity from danger, harm, or an undesirable situation.
-
C.
rescuedTo
Indicates that one entity has been saved or freed from danger, harm, or a problematic situation and brought to the safety or custody of another entity or location.
-
D.
typeOfRescue
Indicates the specific method or category of rescue operation performed in a rescue event.
-
E.
rescuedDuring
Indicates that one entity was rescued in the course of, or as part of, a specified event or time period.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 6:49 p.m.