Triple
T5672648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giza core limestone |
E125012
|
entity |
| Predicate | weatheringBehavior |
P56098
|
FINISHED |
| Object | more prone to erosion than Tura limestone |
—
|
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 prone to erosion than Tura limestone | Statement: [Giza core limestone, weatheringBehavior, more prone to erosion than Tura limestone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatheringBehavior Context triple: [Giza core limestone, weatheringBehavior, more prone to erosion than Tura limestone]
-
A.
weatheringStyle
chosen
Indicates the characteristic manner or pattern in which something undergoes weathering or surface degradation over time.
-
B.
hasWeathering
Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
-
C.
hasErosionFeature
Indicates that one entity exhibits or contains a specific erosion-related feature or form resulting from erosional processes.
-
D.
degradationMechanism
Indicates the process or mechanism by which something deteriorates, breaks down, or loses its original quality or function over time.
-
E.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.