Triple
T14480195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Dress A |
E359081
|
entity |
| Predicate | hasDifferentiationCriterion |
P14118
|
FINISHED |
| Object | design details |
—
|
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: design details | Statement: [Blue Dress A, hasDifferentiationCriterion, design details]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifferentiationCriterion Context triple: [Blue Dress A, hasDifferentiationCriterion, design details]
-
A.
hasDifferentials
Indicates that one entity possesses or is associated with differential components, mechanisms, or calculations relative to another entity.
-
B.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
C.
isDifferential
Indicates that one quantity represents the infinitesimal change or derivative of another with respect to a given variable.
-
D.
hasDiscriminant
Indicates that a mathematical object (such as an equation, polynomial, or form) is associated with a specific discriminant value characterizing its roots or structural properties.
-
E.
isDistinguishedBy
chosen
Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.