Triple
T26919112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacanese |
E677595
|
entity |
| Predicate | isSpokenByMinorityIn |
P4250
|
FINISHED |
| Object | North Maluku |
—
|
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: North Maluku | Statement: [Bacanese, isSpokenByMinorityIn, North Maluku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpokenByMinorityIn Context triple: [Bacanese, isSpokenByMinorityIn, North Maluku]
-
A.
isSpokenByMinority
Indicates that the language or dialect is used primarily by a numerically smaller or less dominant group within a larger population.
-
B.
spokenByMinorityIn
chosen
Indicates that a language or dialect is used primarily by a minority group within a specified geographic or political region.
-
C.
isSpokenByPopulationIn
Indicates that a particular language is used as a spoken means of communication by the people living within a specified geographic region or population group.
-
D.
isSpokenOn
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
E.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:06 a.m.