Triple
T13356479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baining people |
E318705
|
entity |
| Predicate | usesLanguage |
P238
|
FINISHED |
| Object |
Kairak language
The Kairak language is a Papuan language spoken by the Baining people of New Britain in Papua New Guinea.
|
E1037555
|
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: Kairak language | Statement: [Baining people, usesLanguage, Kairak language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kairak language Context triple: [Baining people, usesLanguage, Kairak language]
-
A.
Karkin language
The Karkin language is an extinct Ohlone (Costanoan) Native American language once spoken in the San Francisco Bay Area of California.
-
B.
Karkar-Yuri language
Karkar-Yuri is a Papuan language of Papua New Guinea, spoken by the Karkar and Yuri peoples in the Sepik region.
-
C.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
D.
Kitharaka language
The Kitharaka language is a Bantu language spoken by the Tharaka people of Kenya, closely related to neighboring Kamba and Meru varieties.
-
E.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
- 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: Kairak language Triple: [Baining people, usesLanguage, Kairak language]
Generated description
The Kairak language is a Papuan language spoken by the Baining people of New Britain in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kairak language Target entity description: The Kairak language is a Papuan language spoken by the Baining people of New Britain in Papua New Guinea.
-
A.
Karkin language
The Karkin language is an extinct Ohlone (Costanoan) Native American language once spoken in the San Francisco Bay Area of California.
-
B.
Karkar-Yuri language
Karkar-Yuri is a Papuan language of Papua New Guinea, spoken by the Karkar and Yuri peoples in the Sepik region.
-
C.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
D.
Kitharaka language
The Kitharaka language is a Bantu language spoken by the Tharaka people of Kenya, closely related to neighboring Kamba and Meru varieties.
-
E.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72675c87c8190b26991b55092c444 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.