Triple
T31463577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan Sign Language |
E802665
|
entity |
| Predicate | usedInInterpreting |
P194906
|
FINISHED |
| Object | public services in Catalonia |
—
|
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: public services in Catalonia | Statement: [Catalan Sign Language, usedInInterpreting, public services in Catalonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInInterpreting Context triple: [Catalan Sign Language, usedInInterpreting, public services in Catalonia]
-
A.
areInterpretedInPracticeBy
Indicates that something (such as a rule, concept, or specification) is given concrete meaning or applied in real-world situations by a particular agent or group.
-
B.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
C.
frequentlyInterpretedBy
Indicates that an entity is often or regularly interpreted, explained, or given meaning by a particular agent or group.
-
D.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
E.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: April 30, 2026, 9:21 p.m.