Triple
T430465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanche Fracture Zone |
E9699
|
entity |
| Predicate | bathymetryCharacteristic |
P2048
|
FINISHED |
| Object | very deep axial valley |
—
|
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: very deep axial valley | Statement: [Romanche Fracture Zone, bathymetryCharacteristic, very deep axial valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bathymetryCharacteristic Context triple: [Romanche Fracture Zone, bathymetryCharacteristic, very deep axial valley]
-
A.
bathymetryCharacter
chosen
Indicates the nature or distinguishing features of the underwater depth profile or seafloor topography in a given area.
-
B.
seaLevelCharacteristic
Indicates a characteristic, property, or attribute specifically related to sea level.
-
C.
seafloorType
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
D.
oceanBasin
Indicates a relationship where a geographic or marine feature is located within, or is part of, a specific ocean basin.
-
E.
oceanDepthBelow
Indicates that one location or point in the ocean is situated at a greater depth (deeper below the surface) than another.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.