Triple
T6786468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bintauna language |
E155816
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Bintauna’ |
E619185
|
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: Bintauna’ | Statement: [Bintauna language, alternateName, Bintauna’]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bintauna’ Context triple: [Bintauna language, alternateName, Bintauna’]
-
A.
Bintauna
chosen
Bintauna is an Austronesian language spoken by the Bintauna people in North Sulawesi, Indonesia.
-
B.
Buna
Buna is a coastal village in Papua New Guinea that was a key site of intense fighting between Allied and Japanese forces during World War II’s New Guinea campaign.
-
C.
Buna
Buna is the Nazi concentration and labor camp complex near Auschwitz where Elie Wiesel is imprisoned in his memoir "Night."
-
D.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
E.
Baitadi
Baitadi is a hilly district in far-western Nepal known for its rural landscapes, agriculture-based economy, and proximity to the Indian border.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cc35cc8190b5affdfd363171ba |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:14 p.m.