Triple
T33589018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Argo |
E860366
|
entity |
| Predicate | hasPrimaryDepthRange |
P122212
|
FINISHED |
| Object | ocean below 2000 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: ocean below 2000 meters | Statement: [Deep Argo, hasPrimaryDepthRange, ocean below 2000 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryDepthRange Context triple: [Deep Argo, hasPrimaryDepthRange, ocean below 2000 meters]
-
A.
hasDepthRange
chosen
Indicates that an entity is associated with a minimum and maximum depth within which it occurs, applies, or is valid.
-
B.
hasDepth
Indicates that an entity possesses a measurable extent or distance from its surface inward or from top to bottom.
-
C.
hasTextureRange
Indicates that an entity exhibits a texture whose characteristics fall within a specified range or interval.
-
D.
hasApproximateDepth
Indicates that an entity is associated with a depth value that is not exact but estimated or approximate.
-
E.
hasChannelDepth
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01a9e333fc819087d583ff319be0b3 |
completed | May 11, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_6a01a877c9e08190b0678618d3533286 |
completed | May 11, 2026, 9:59 a.m. |
Created at: May 1, 2026, 1:40 a.m.