Triple
T21989887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Character repertoire description language |
E543054
|
entity |
| Predicate | typeOfConstraintLanguage |
P145851
|
FINISHED |
| Object | character-level constraint language |
—
|
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: character-level constraint language | Statement: [Character repertoire description language, typeOfConstraintLanguage, character-level constraint language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfConstraintLanguage Context triple: [Character repertoire description language, typeOfConstraintLanguage, character-level constraint language]
-
A.
constraintLanguage
chosen
Indicates that a specific formal language or syntax is used to express or define a constraint.
-
B.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
C.
elementTypeConstraint
Indicates that there is a restriction or rule specifying which types of elements are allowed or required in a given context.
-
D.
hasSchemaLanguage
Indicates that an entity uses, conforms to, or is defined in a particular schema language.
-
E.
hasFormalConstraint
Indicates that an entity is governed or restricted by an explicitly defined formal rule, condition, or limitation.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:05 p.m.