Triple
T6295968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayuh people |
E141131
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Selako Bidayuh
Selako Bidayuh is a regional variety of the Bidayuh language spoken by the Bidayuh people, primarily in parts of Borneo.
|
E582804
|
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: Selako Bidayuh | Statement: [Bidayuh people, language, Selako Bidayuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selako Bidayuh Context triple: [Bidayuh people, language, Selako Bidayuh]
-
A.
Ko Bida Nok
Ko Bida Nok is a small, rocky islet off the coast of Thailand renowned for its rich marine life and popularity as a scuba diving and snorkeling site.
-
B.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
C.
Beng ü Bade
Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
-
D.
Saluan
Saluan is an Austronesian language spoken by the Saluan people primarily in Central Sulawesi, Indonesia.
-
E.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
- 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: Selako Bidayuh Triple: [Bidayuh people, language, Selako Bidayuh]
Generated description
Selako Bidayuh is a regional variety of the Bidayuh language spoken by the Bidayuh people, primarily in parts of Borneo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selako Bidayuh Target entity description: Selako Bidayuh is a regional variety of the Bidayuh language spoken by the Bidayuh people, primarily in parts of Borneo.
-
A.
Ko Bida Nok
Ko Bida Nok is a small, rocky islet off the coast of Thailand renowned for its rich marine life and popularity as a scuba diving and snorkeling site.
-
B.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
C.
Beng ü Bade
Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
-
D.
Saluan
Saluan is an Austronesian language spoken by the Saluan people primarily in Central Sulawesi, Indonesia.
-
E.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
- 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.