Triple
T38401305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argonaut Mine disaster |
E900905
|
entity |
| Predicate | depthOfFireArea |
P190839
|
FINISHED |
| Object | approximately 4,650 feet underground |
—
|
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: approximately 4,650 feet underground | Statement: [Argonaut Mine disaster, depthOfFireArea, approximately 4,650 feet underground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depthOfFireArea Context triple: [Argonaut Mine disaster, depthOfFireArea, approximately 4,650 feet underground]
-
A.
flameHeight
Indicates the vertical extent or height reached by a flame during burning.
-
B.
burnedArea
Indicates the extent or portion of an area that has been affected or consumed by fire.
-
C.
fireType
Indicates that one entity has a specific classification or category related to fire (e.g., type, kind, or nature of fire).
-
D.
fireCoverage
Indicates the extent to which an area or object is protected or served by fire prevention, detection, or suppression resources.
-
E.
distanceFromFireOrigin
Indicates the measured spatial distance between a given location or object and the point where a fire originally started.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.