Triple
T27631543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Urzúa |
E696348
|
entity |
| Predicate | positionDuringAccident |
P183103
|
FINISHED |
| Object | shift boss at San José mine |
—
|
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: shift boss at San José mine | Statement: [Luis Urzúa, positionDuringAccident, shift boss at San José mine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionDuringAccident Context triple: [Luis Urzúa, positionDuringAccident, shift boss at San José mine]
-
A.
siteOfAccident
Indicates the location where an accident occurred.
-
B.
accidentOccurredDuring
Indicates that an accident took place within the time span or context of a specified event, activity, or condition.
-
C.
intendedDestinationAtAccident
Indicates that a location was the destination an entity was heading toward at the time an accident occurred.
-
D.
routeAtTimeOfAccident
Indicates that a specific route is associated with the time at which an accident occurred.
-
E.
accidentPhase
Indicates the specific stage or phase of progression within an accident or incident event.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 27, 2026, 2:21 p.m.