Triple
T6295965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayuh people |
E141131
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Biatah Bidayuh
Biatah Bidayuh is an Austronesian language spoken by a subgroup of the Bidayuh people in Sarawak, Malaysia.
|
E582802
|
NE FINISHED |
How this triple was built (4 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 people, language, Biatah Bidayuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biatah Bidayuh Context triple: [Bidayuh people, language, Biatah Bidayuh]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
E.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Biatah Bidayuh Triple: [Bidayuh people, language, Biatah Bidayuh]
Generated description
Biatah Bidayuh is an Austronesian language spoken by a subgroup of the Bidayuh people in Sarawak, Malaysia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biatah Bidayuh Target entity description: Biatah Bidayuh is an Austronesian language spoken by a subgroup of the Bidayuh people in Sarawak, Malaysia.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
-
E.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
- F. None of above. chosen
Provenance (5 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51b04fa688190a366d5c90150a530 |
completed | March 26, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c583978758819094aebde9d410f849 |
completed | March 26, 2026, 7:05 p.m. |
Created at: March 22, 2026, 4:27 p.m.