Triple
T31463971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Sign Language |
E802674
|
entity |
| Predicate | isNotManuallyCodedFormOf |
P171908
|
FINISHED |
| Object | Spanish |
—
|
NE NERFINISHED |
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: Spanish | Statement: [Mexican Sign Language, isNotManuallyCodedFormOf, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotManuallyCodedFormOf Context triple: [Mexican Sign Language, isNotManuallyCodedFormOf, Spanish]
-
A.
isCodifiedFormOf
Indicates that one entity is the formal, standardized, or officially documented version or expression of another entity.
-
B.
isNotIndicatedFor
Indicates that a treatment, action, or option is not recommended or appropriate for a particular condition, situation, or entity.
-
C.
hasNonStandardForm
Indicates that an entity possesses a form, variant, or representation that deviates from the standard, canonical, or commonly accepted form.
-
D.
isLessStandardizedThan
Indicates that one entity follows fewer or less rigid standards, norms, or formalized procedures than another entity.
-
E.
notEncodedIn
Indicates that a piece of information, data, or content is explicitly absent from or not represented within a given encoding, format, or medium.
- 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_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 9:22 p.m.