Triple
T6688633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duri language |
E152164
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Duri
Duri is an Austronesian language spoken by the Duri people of South Sulawesi, Indonesia.
|
E610790
|
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: Duri | Statement: [Duri language, glottologName, Duri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duri Context triple: [Duri language, glottologName, Duri]
-
A.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
B.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
-
C.
Bima
Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
-
D.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
E.
Murut
The Murut are an indigenous ethnic group of northern Borneo, primarily inhabiting the interior regions of Sabah in Malaysia and known for their distinct languages, traditional longhouse communities, and rich cultural heritage.
- 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: Duri Triple: [Duri language, glottologName, Duri]
Generated description
Duri is an Austronesian language spoken by the Duri people of South Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duri Target entity description: Duri is an Austronesian language spoken by the Duri people of South Sulawesi, Indonesia.
-
A.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
B.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
-
C.
Bima
Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
-
D.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
E.
Murut
The Murut are an indigenous ethnic group of northern Borneo, primarily inhabiting the interior regions of Sabah in Malaysia and known for their distinct languages, traditional longhouse communities, and rich cultural heritage.
- 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_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_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8d27d388190816cfeefbe1519d8 |
completed | March 27, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9729d7881908f3c396690ffcae8 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:04 p.m.