Triple
T8716699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Central Thrust zone |
E206912
|
entity |
| Predicate | hasDeformationStyle |
P12065
|
FINISHED |
| Object | ductile shearing |
—
|
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: ductile shearing | Statement: [Main Central Thrust zone, hasDeformationStyle, ductile shearing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeformationStyle Context triple: [Main Central Thrust zone, hasDeformationStyle, ductile shearing]
-
A.
deformationStyle
chosen
Indicates the manner or pattern in which an object or material is deformed under applied forces or conditions.
-
B.
hasDeformation
Indicates that one entity exhibits or is characterized by a physical or structural deformation associated with another entity or condition.
-
C.
hasInternalDeformation
Indicates that one entity exhibits structural distortion or change within its interior caused by stress, force, or other internal factors.
-
D.
deformationFeatures
Indicates the presence or characteristics of structural changes or distortions (such as folds, faults, or warps) affecting an object or material.
-
E.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd9c2a08190a65ab0ce573153d2 |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.