Triple
T4691031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lioz limestone |
E104032
|
entity |
| Predicate | weatheringResistance |
P20750
|
FINISHED |
| Object | good in urban environments |
—
|
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: good in urban environments | Statement: [Lioz limestone, weatheringResistance, good in urban environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatheringResistance Context triple: [Lioz limestone, weatheringResistance, good in urban environments]
-
A.
weatheringStyle
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.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
-
D.
designedToWithstand
chosen
Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
-
E.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.