Triple
T29845227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina San José |
E757911
|
entity |
| Predicate | numberOfMinersTrapped |
P198959
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [Mina San José, numberOfMinersTrapped, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMinersTrapped Context triple: [Mina San José, numberOfMinersTrapped, 33]
-
A.
numberOfMinersDepicted
Indicates the quantity of miners shown or represented in a given context.
-
B.
numberOfMinersTrappedIn2010Accident
chosen
Indicates the count of miners who were trapped as a result of the 2010 accident.
-
C.
lastMinerRescued
Indicates that the referenced miner is the final individual to be successfully rescued in a rescue operation.
-
D.
numberOfPeopleTrapped
Indicates the count of individuals who are currently trapped in a given situation or location.
-
E.
hasNumberOfFalseDoors
Indicates that an entity is associated with a specific count of false doors (door-like architectural features that do not function as actual entrances or exits).
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
Created at: April 29, 2026, 5:41 p.m.