Triple
T15015947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio-class ballistic missile submarine |
E377959
|
entity |
| Predicate | beamApproximate |
P43722
|
FINISHED |
| Object | 13 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: 13 meters | Statement: [Ohio-class ballistic missile submarine, beamApproximate, 13 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beamApproximate Context triple: [Ohio-class ballistic missile submarine, beamApproximate, 13 meters]
-
A.
beamApprox
chosen
Indicates that one entity is approximately equal to or closely resembles another in value, form, or behavior.
-
B.
depthApprox
Indicates an approximate or estimated depth relationship between entities, rather than an exact measured depth.
-
C.
approximateDirection
Indicates that one entity is located in a general or rough directional relation (e.g., roughly north, south, etc.) relative to another entity, without specifying an exact bearing.
-
D.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
E.
approximationRegion
Indicates a region or range within which a value, object, or condition is considered an acceptable approximation of a reference or target.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.