Triple
T31006474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenville Province |
E790076
|
entity |
| Predicate | crustalThicknessKm |
P16324
|
FINISHED |
| Object | up to 60 |
—
|
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: up to 60 | Statement: [Grenville Province, crustalThicknessKm, up to 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crustalThicknessKm Context triple: [Grenville Province, crustalThicknessKm, up to 60]
-
A.
lithosphericThickness
Indicates the measured or modeled thickness of a planet’s lithosphere at a given location or region.
-
B.
hasCrustalThickness
chosen
Indicates the relationship in which an object or region possesses a specified thickness of its crust.
-
C.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
D.
crustalComposition
Indicates the type and proportion of materials that make up a planet or moon’s outer solid layer (its crust).
-
E.
lithosphereType
Indicates the classification of a lithospheric unit according to its type (e.g., oceanic, continental, or other defined categories).
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:57 p.m.