Triple
T8082074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Britain Trench |
E188638
|
entity |
| Predicate | isMajorDeepSeaFeatureOf |
P43885
|
FINISHED |
| Object | southwestern Pacific Ocean |
—
|
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: southwestern Pacific Ocean | Statement: [New Britain Trench, isMajorDeepSeaFeatureOf, southwestern Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorDeepSeaFeatureOf Context triple: [New Britain Trench, isMajorDeepSeaFeatureOf, southwestern Pacific Ocean]
-
A.
isMajorDeepWaterAreaOf
chosen
Indicates that one area constitutes a primary or significant deep-water region of another area or entity.
-
B.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
C.
oceanographicFeature
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
D.
hasSeamount
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
-
E.
hasBathymetricFeature
Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a699388190a5b8e26524ae43e5 |
completed | March 31, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:28 p.m.