Triple
T15291333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torres Strait Creole |
E365533
|
entity |
| Predicate | isSpokenByGeneration |
P14809
|
FINISHED |
| Object | children |
—
|
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: children | Statement: [Torres Strait Creole, isSpokenByGeneration, children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpokenByGeneration Context triple: [Torres Strait Creole, isSpokenByGeneration, children]
-
A.
spokenByGeneration
chosen
Indicates that something (such as a statement, text, or utterance) is spoken or produced vocally by a particular generation or age cohort.
-
B.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
C.
isSpokenByMinority
Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
-
D.
previouslyVoicedBy
Indicates that one entity served as the voice actor for another entity at some earlier time, but no longer does so in the current context.
-
E.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.