Triple
T6509805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massenrempulu languages |
E150097
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bungin language
The Bungin language is an Austronesian language spoken by the Bungin people of South Sulawesi, Indonesia, and is part of the Massenrempulu subgroup.
|
E601370
|
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: Bungin language | Statement: [Massenrempulu languages, hasMember, Bungin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bungin language Context triple: [Massenrempulu languages, hasMember, Bungin language]
-
A.
Budong-Budong language
The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
-
B.
Buga language
The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
-
C.
Bungku language
The Bungku language is an Austronesian language spoken by the Bungku people of southeastern Sulawesi, Indonesia.
-
D.
Bongo language
The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
-
E.
Bugotu language
The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
- 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: Bungin language Triple: [Massenrempulu languages, hasMember, Bungin language]
Generated description
The Bungin language is an Austronesian language spoken by the Bungin people of South Sulawesi, Indonesia, and is part of the Massenrempulu subgroup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bungin language Target entity description: The Bungin language is an Austronesian language spoken by the Bungin people of South Sulawesi, Indonesia, and is part of the Massenrempulu subgroup.
-
A.
Budong-Budong language
The Budong-Budong language is an Austronesian language spoken by a small community in West Sulawesi, Indonesia.
-
B.
Buga language
The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
-
C.
Bungku language
The Bungku language is an Austronesian language spoken by the Bungku people of southeastern Sulawesi, Indonesia.
-
D.
Bongo language
The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
-
E.
Bugotu language
The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
- 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_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_69c6cb5782fc8190a56b714bbc007490 |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd88f66c81909b364a816aeee8bf |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce3a53cc8190a40d696a22ec65f4 |
completed | March 27, 2026, 6:36 p.m. |
Created at: March 27, 2026, 1:43 p.m.