Triple
T22934074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipikoro |
E569527
|
entity |
| Predicate | hasNeighboringLanguage |
P16383
|
FINISHED |
| Object | Bada |
—
|
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: Bada | Statement: [Pipikoro, hasNeighboringLanguage, Bada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bada Context triple: [Pipikoro, hasNeighboringLanguage, Bada]
-
A.
Bada’
Bada’ is an Austronesian language spoken by the Bada people in Central Sulawesi, Indonesia.
-
B.
Bada language
chosen
Bada language is an Austronesian language spoken by the Bada people of Central Sulawesi, Indonesia.
-
C.
Noki
Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
-
D.
Namhan Sansung
Namhan Sansung is a historic mountain fortress in South Korea, renowned for its role in defending the Joseon dynasty and now recognized as a UNESCO World Heritage Site.
-
E.
Nokki
Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.