Triple
T27754461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San José copper–gold mine |
E701300
|
entity |
| Predicate | safetyRecordBefore2010Accident |
P164528
|
FINISHED |
| Object | history of safety problems |
—
|
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: history of safety problems | Statement: [San José copper–gold mine, safetyRecordBefore2010Accident, history of safety problems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyRecordBefore2010Accident Context triple: [San José copper–gold mine, safetyRecordBefore2010Accident, history of safety problems]
-
A.
safetyRecordChangedAfter
Indicates that an entity’s safety record was modified following a specified event, time, or condition.
-
B.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
-
C.
firstAccidentDate
Indicates the date on which an entity experienced its first recorded accident.
-
D.
yearOfSecondAccident
Indicates the calendar year in which an entity experienced its second recorded accident.
-
E.
hasAccidentAt
Indicates that an accident involving a subject occurs at a specific location or time.
- 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_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 4:22 p.m.