Triple
T6688681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budong-Budong language |
E152166
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Budong-Budong |
E610796
|
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: Budong-Budong | Statement: [Budong-Budong language, hasAlternativeName, Budong-Budong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budong-Budong Context triple: [Budong-Budong language, hasAlternativeName, Budong-Budong]
-
A.
Budongbudong
chosen
Budongbudong is an Austronesian language spoken by a small community in Sulawesi, Indonesia.
-
B.
Dogok-dong
Dogok-dong is a residential neighborhood in Seoul, South Korea, known for its affluent apartment complexes and location within the upscale Gangnam area.
-
C.
Bugaloo
Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
-
D.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
E.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14feb28819097bc157df8a2f96e |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7007ad59c8190a752d9b1152c3435 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:04 p.m.