Triple
T26992018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ConcreteVisitor |
E679881
|
entity |
| Predicate | patternCategory |
P11488
|
FINISHED |
| Object | behavioral pattern |
—
|
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: behavioral pattern | Statement: [ConcreteVisitor, patternCategory, behavioral pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patternCategory Context triple: [ConcreteVisitor, patternCategory, behavioral pattern]
-
A.
patternFamily
chosen
Indicates that one entity belongs to, or is categorized within, a family or group of related patterns defined by the other entity.
-
B.
pattern
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
C.
patternSupport
Indicates that one entity provides evidence, validation, or reinforcement for the existence, correctness, or applicability of a particular pattern associated with another entity.
-
D.
matchCategory
Indicates that two or more entities belong to the same category or share an equivalent classification.
-
E.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621915ee48190b508025afa2fb4fc |
completed | May 2, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:52 a.m.