Triple
T6509930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mori Bawah language |
E150100
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Mori Bawah |
E601379
|
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: Mori Bawah | Statement: [Mori Bawah language, hasDialects, Mori Bawah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mori Bawah Context triple: [Mori Bawah language, hasDialects, Mori Bawah]
-
A.
Mori Bawah
chosen
Mori Bawah is an Austronesian language spoken in Sulawesi, Indonesia, known for its place within the Bungku–Tolaki subgroup.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Miyazya
Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
-
D.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f398f10819096342f3646cefcc2 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50d155c81908b01914db32494d8 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:43 p.m.