Triple
T7051114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondano language |
E163766
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Bantik language |
E155816
|
NE 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: Bantik language | Statement: [Tondano language, neighboringLanguage, Bantik language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantik language Context triple: [Tondano language, neighboringLanguage, Bantik language]
-
A.
Bantawa language
The Bantawa language is a Sino-Tibetan language spoken primarily by the Bantawa (Rai) people of eastern Nepal and neighboring regions.
-
B.
Balantak language
The Balantak language is an Austronesian language spoken by the Balantak people of eastern Central Sulawesi, Indonesia.
-
C.
Bima language
Bima language is an Austronesian language spoken primarily on Sumbawa Island in Indonesia, known for its distinct grammar and vocabulary within the region.
-
D.
Bintauna language
chosen
The Bintauna language is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
-
E.
Batangan language
Batangan language is another name for the Buhid language, an Austronesian language spoken by the Mangyan people of Mindoro in the Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2500570819087200013d859cfe6 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78891bc5081909db384a35b45df4a |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.