Triple
T1936423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liquid Retina XDR |
E41452
|
entity |
| Predicate | contrastCapability |
P33709
|
FINISHED |
| Object | very high contrast |
—
|
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: very high contrast | Statement: [Liquid Retina XDR, contrastCapability, very high contrast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastCapability Context triple: [Liquid Retina XDR, contrastCapability, very high contrast]
-
A.
consideredCapability
Indicates that something is regarded or evaluated as a potential capability of an entity.
-
B.
comparisonRequirement
Indicates that one entity must be evaluated or measured in relation to another according to a specified standard or criterion.
-
C.
primaryCapability
Indicates that one entity serves as the main or most important functional ability, role, or competence of another entity.
-
D.
usedCapability
Indicates that an entity employed or exercised a particular capability, skill, or function in performing an action or achieving a result.
-
E.
featureLevelComparedTo
Indicates a comparative relationship between entities based on their feature level, specifying how one entity’s feature level ranks relative to another’s.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb25ef0ec8190b907963e9db0fe04 |
completed | March 7, 2026, 5:06 a.m. |
Created at: March 4, 2026, 7:35 p.m.