Triple
T2842814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Grande Rift |
E62508
|
entity |
| Predicate | maximumCrustalExtension |
P43354
|
FINISHED |
| Object | tens of kilometers |
—
|
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: tens of kilometers | Statement: [Rio Grande Rift, maximumCrustalExtension, tens of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumCrustalExtension Context triple: [Rio Grande Rift, maximumCrustalExtension, tens of kilometers]
-
A.
hasCrustalThickness
Indicates the relationship in which an object or region possesses a specified thickness of its crust.
-
B.
maximumDepthKilometres
Indicates the greatest depth, measured in kilometers, that something reaches or extends to.
-
C.
crustTypeSubducting
Indicates that one type of crust is moving beneath another plate in a subduction process.
-
D.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
-
E.
crustalComposition
Indicates the type and proportion of materials that make up a planet or moon’s outer solid layer (its crust).
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:01 p.m.