Triple
T13213418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvin |
E314548
|
entity |
| Predicate | operatingDepth |
P16570
|
FINISHED |
| Object | approximately 4500 meters |
—
|
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 4500 meters | Statement: [Alvin, operatingDepth, approximately 4500 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingDepth Context triple: [Alvin, operatingDepth, approximately 4500 meters]
-
A.
summitDepth
Indicates the vertical distance from a summit’s highest point down to a specified reference level, such as a base or surrounding terrain.
-
B.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
C.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
D.
maximumDiveDepth
Indicates the greatest depth below the surface that an entity is capable of or allowed to dive.
-
E.
depthMetresApprox
chosen
Indicates an approximate measurement of how deep something is in metres, rather than an exact value.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:17 p.m.