Triple
T6942849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayuh |
E160719
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Biatah Bidayuh |
E582802
|
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: Biatah Bidayuh | Statement: [Bidayuh, hasLanguage, Biatah Bidayuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biatah Bidayuh Context triple: [Bidayuh, hasLanguage, Biatah Bidayuh]
-
A.
Biatah Bidayuh
chosen
Biatah Bidayuh is an Austronesian language spoken by a subgroup of the Bidayuh people in Sarawak, Malaysia.
-
B.
Orang Seletar
Orang Seletar are an indigenous Orang Asli sea people of southern Peninsular Malaysia and nearby Singapore, traditionally living as coastal and riverine fisher-foragers.
-
C.
Sitiawan
Sitiawan is a coastal town in the Manjung District of Perak, Malaysia, known for its fishing industry and proximity to the port city of Lumut.
-
D.
Subang Jaya
Subang Jaya is a major suburban city in the Klang Valley region of Malaysia, known for its dense residential areas, commercial hubs, and educational institutions.
-
E.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da876c9c8190996f3ff84858e8d1 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75861cd548190a215d616b68101d9 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.