Triple
T27754460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San José copper–gold mine |
E701300
|
entity |
| Predicate | statusAfter2010Accident |
P183987
|
FINISHED |
| Object | closed |
—
|
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: closed | Statement: [San José copper–gold mine, statusAfter2010Accident, closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2010Accident Context triple: [San José copper–gold mine, statusAfter2010Accident, closed]
-
A.
registrationStatusAfterAccident
Indicates the state of an entity’s registration following the occurrence of an accident.
-
B.
safetyRecordBefore2010Accident
Indicates that an entity’s documented safety performance or history pertains to the period before a specific accident that occurred in 2010.
-
C.
yearOfSecondAccident
Indicates the calendar year in which an entity experienced its second recorded accident.
-
D.
accidentState
Indicates the condition or status of an accident at a given point in time.
-
E.
managementActionAfterAccident
Indicates that a management-level decision or intervention is carried out in response to an accident that has already occurred.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 27, 2026, 4:22 p.m.