Triple
T6566751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toraja-Saʼdan language |
E153924
|
entity |
| Predicate | linguisticResearchOn |
P29095
|
FINISHED |
| Object | morphosyntax |
—
|
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: morphosyntax | Statement: [Toraja-Saʼdan language, linguisticResearchOn, morphosyntax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticResearchOn Context triple: [Toraja-Saʼdan language, linguisticResearchOn, morphosyntax]
-
A.
linguisticField
chosen
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
B.
linguisticContribution
Indicates that one entity provides or constitutes a meaningful addition to language use, such as information, expression, or structure, within a communicative context.
-
C.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
linguisticSignificance
Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.