Triple
T27616094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQuaRE |
E700440
|
entity |
| Predicate | hasQualityModel |
P166183
|
FINISHED |
| Object | product quality model |
—
|
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: product quality model | Statement: [SQuaRE, hasQualityModel, product quality model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQualityModel Context triple: [SQuaRE, hasQualityModel, product quality model]
-
A.
hasQualityAssuranceModel
Indicates that an entity is associated with or governed by a specific quality assurance model or framework.
-
B.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
C.
hasQualityControl
Indicates that an entity is subject to processes or measures designed to monitor, verify, and maintain the quality of its outputs or operations.
-
D.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
E.
hasQualifier
Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 27, 2026, 2:12 p.m.