Triple
T26679130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steens Mountain volcanic field |
E672555
|
entity |
| Predicate | maximumBasaltThickness |
P168926
|
FINISHED |
| Object | more than 1000 meters |
—
|
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: more than 1000 meters | Statement: [Steens Mountain volcanic field, maximumBasaltThickness, more than 1000 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumBasaltThickness Context triple: [Steens Mountain volcanic field, maximumBasaltThickness, more than 1000 meters]
-
A.
lithosphericThickness
Indicates the measured or modeled thickness of a planet’s lithosphere at a given location or region.
-
B.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
C.
hasCrustalThickness
Indicates the relationship in which an object or region possesses a specified thickness of its crust.
-
D.
maximumCrustalExtension
Indicates the greatest amount of stretching or thinning that the Earth’s crust has undergone in a given region or event.
-
E.
calderaDepth
Indicates the vertical distance from a caldera’s rim down to its lowest interior point.
- F. None of above. chosen
Provenance (4 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 3:18 a.m.