Triple
T6786862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papuan Tip linkage |
E155828
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Dawawa language
The Dawawa language is an Oceanic language of the Papuan Tip region of Papua New Guinea, spoken by a small coastal community.
|
E619341
|
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: Dawawa language | Statement: [Papuan Tip linkage, hasLanguage, Dawawa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawawa language Context triple: [Papuan Tip linkage, hasLanguage, Dawawa language]
-
A.
Dawan language
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
-
B.
Dawro language
The Dawro language is an Omotic language of southwestern Ethiopia spoken by the Dawro people and closely related to Wolaytta.
-
C.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
D.
Wewewa language
The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
-
E.
Dagaare language
The Dagaare language is a Gur language spoken primarily by the Dagaaba people in northwestern Ghana and parts of Burkina Faso and Ivory Coast.
- 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: Dawawa language Triple: [Papuan Tip linkage, hasLanguage, Dawawa language]
Generated description
The Dawawa language is an Oceanic language of the Papuan Tip region of Papua New Guinea, spoken by a small coastal community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dawawa language Target entity description: The Dawawa language is an Oceanic language of the Papuan Tip region of Papua New Guinea, spoken by a small coastal community.
-
A.
Dawan language
The Dawan language is an Austronesian language spoken primarily in West Timor, Indonesia, by the Atoni people.
-
B.
Dawro language
The Dawro language is an Omotic language of southwestern Ethiopia spoken by the Dawro people and closely related to Wolaytta.
-
C.
Daakaka language
The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
-
D.
Wewewa language
The Wewewa language is an Austronesian language spoken by the Wewewa people on the western part of Sumba Island in eastern Indonesia.
-
E.
Dagaare language
The Dagaare language is a Gur language spoken primarily by the Dagaaba people in northwestern Ghana and parts of Burkina Faso and Ivory Coast.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28f043081909a9a9ab635785933 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:14 p.m.