Triple
T7888550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Copiapó mining accident |
E183164
|
entity |
| Predicate | depthOfRefugeChamberInMeters |
P43725
|
FINISHED |
| Object | 700 |
—
|
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: 700 | Statement: [2010 Copiapó mining accident, depthOfRefugeChamberInMeters, 700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depthOfRefugeChamberInMeters Context triple: [2010 Copiapó mining accident, depthOfRefugeChamberInMeters, 700]
-
A.
undergroundCavernLength
Indicates the measured linear extent or distance from one end to the other of an underground cavern.
-
B.
undergroundCavernWidth
Indicates the horizontal extent or span of an underground cavern from one side to the other.
-
C.
hasUndergroundDepth
chosen
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
D.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
E.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ea8d1c81908ef99569e0cf00b7 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:59 p.m.