Triple
T16551978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zealandia |
E402093
|
entity |
| Predicate | thicknessComparedToOceans |
P74321
|
FINISHED |
| Object | thicker than typical oceanic crust |
—
|
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: thicker than typical oceanic crust | Statement: [Zealandia, thicknessComparedToOceans, thicker than typical oceanic crust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thicknessComparedToOceans Context triple: [Zealandia, thicknessComparedToOceans, thicker than typical oceanic crust]
-
A.
oceanDepthBelow
Indicates that one location or point in the ocean is situated at a greater depth (deeper below the surface) than another.
-
B.
lithosphericThickness
chosen
Indicates the measured or modeled thickness of a planet’s lithosphere at a given location or region.
-
C.
oceanicPortion
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
D.
densityRelativeToSurfaceWater
Indicates how dense something is compared to the density of surface (fresh) water, typically expressed as a ratio or relative value.
-
E.
averageOceanLength
Indicates the typical or mean longitudinal extent of an ocean, usually measured as an average length across its span.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc56f9081908bb8f6433a1a688d |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.