Triple
T23634085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapphire |
E583692
|
entity |
| Predicate | isHeatTreated |
P153354
|
FINISHED |
| Object | commonly to improve color and clarity |
—
|
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: commonly to improve color and clarity | Statement: [Sapphire, isHeatTreated, commonly to improve color and clarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHeatTreated Context triple: [Sapphire, isHeatTreated, commonly to improve color and clarity]
-
A.
isThermoformedWithHeat
Indicates that an object or material has been shaped or molded by applying heat in a thermoforming process.
-
B.
isHot
Indicates that an entity has a high temperature or is perceived as very warm.
-
C.
isCorrosionResistantWhen
Indicates that an entity remains resistant to corrosion under specified conditions or circumstances.
-
D.
hasSerrations
Indicates that one entity possesses serrated or saw-like edges, surfaces, or features.
-
E.
hasBore
Indicates that one object possesses or is characterized by a specific bore, such as the internal diameter of a tube, pipe, or barrel.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:47 p.m.