Triple
T28335961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florencio Ávalos |
E717670
|
entity |
| Predicate | rescueDepth |
P3822
|
FINISHED |
| Object | approximately 700 meters 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 700 meters underground | Statement: [Florencio Ávalos, rescueDepth, approximately 700 meters underground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rescueDepth Context triple: [Florencio Ávalos, rescueDepth, approximately 700 meters underground]
-
A.
searchDepth
Indicates the extent or level to which a search process explores through layers, steps, or hierarchy within a structure or space.
-
B.
rescueFrom
Indicates that one entity saves or frees another entity from danger, harm, or an adverse situation.
-
C.
depth
chosen
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
D.
rescueBy
Indicates that one entity is saved or freed from danger, harm, or a problematic situation by another entity.
-
E.
rescueAttemptNumber
Indicates the ordinal count of distinct attempts made to carry out a rescue in a given rescue situation or operation.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 12:36 a.m.