Triple
T3367833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amerasian Basin |
E70878
|
entity |
| Predicate | hasSeafloorTopography |
P37608
|
FINISHED |
| Object | complex |
—
|
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: complex | Statement: [Amerasian Basin, hasSeafloorTopography, complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeafloorTopography Context triple: [Amerasian Basin, hasSeafloorTopography, complex]
-
A.
hasBathymetricFeature
chosen
Indicates that one entity possesses, contains, or is associated with a specific underwater (seafloor) topographic feature.
-
B.
seafloorType
Indicates the classification of the ocean bottom surface based on its physical or geological characteristics.
-
C.
hasSeamount
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
-
D.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
-
E.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2890480819082fe2e3c2874cece |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.