Triple
T23187913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artisan Garden |
E579642
|
entity |
| Predicate | hasEvaluationCriterion |
P17142
|
FINISHED |
| Object | design quality |
—
|
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 quality | Statement: [Artisan Garden, hasEvaluationCriterion, design quality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEvaluationCriterion Context triple: [Artisan Garden, hasEvaluationCriterion, design quality]
-
A.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
B.
hasComparisonCriterion
Indicates that one entity is used as the basis or standard by which another entity is compared or evaluated.
-
C.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
-
D.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
E.
evaluationBasis
chosen
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd4c6f481908b6138a44b98c8a7 |
completed | April 29, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.