Triple
T29845240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina San José |
E757911
|
entity |
| Predicate | numberOfRescueShaftsDrilled |
P201748
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Mina San José, numberOfRescueShaftsDrilled, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRescueShaftsDrilled Context triple: [Mina San José, numberOfRescueShaftsDrilled, 3]
-
A.
timeToDrillRescueShaft
Indicates the duration required to complete drilling a rescue shaft.
-
B.
diameterOfRescueShaft
Indicates the measured width of a rescue shaft across its widest point.
-
C.
hasEmergencyExitShafts
Indicates that an entity is equipped with one or more dedicated emergency exit shafts for evacuation or escape purposes.
-
D.
numberOfTunnelBoringMachinesUsed
Indicates the quantity of tunnel boring machines that were employed in carrying out a particular tunneling project or activity.
-
E.
numberOfPeopleTrapped
Indicates the count of individuals who are currently trapped in a given situation or location.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
| PDg | Predicate description generation | batch_6a001adbe6588190b7af521508b18898 |
completed | May 10, 2026, 5:42 a.m. |
Created at: April 29, 2026, 5:41 p.m.