Triple
T22659362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anuta village |
E559619
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object |
Anutan language
The Anutan language is a Polynesian language spoken by the inhabitants of the small, remote island of Anuta in the Solomon Islands.
|
E1548061
|
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: Anutan language | Statement: [Anuta village, languageUsed, Anutan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anutan language Context triple: [Anuta village, languageUsed, Anutan language]
-
A.
Anaguta language
The Anaguta language is a Plateau language spoken by the Anaguta people in and around Jos in Plateau State, central Nigeria.
-
B.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Agatu language
The Agatu language is a Niger-Congo language spoken by the Agatu people of central Nigeria, belonging to the Idomoid branch.
-
D.
Anuki language
The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
-
E.
Nitinaht language
The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
- 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: Anutan language Triple: [Anuta village, languageUsed, Anutan language]
Generated description
The Anutan language is a Polynesian language spoken by the inhabitants of the small, remote island of Anuta in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anutan language Target entity description: The Anutan language is a Polynesian language spoken by the inhabitants of the small, remote island of Anuta in the Solomon Islands.
-
A.
Anaguta language
The Anaguta language is a Plateau language spoken by the Anaguta people in and around Jos in Plateau State, central Nigeria.
-
B.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Agatu language
The Agatu language is a Niger-Congo language spoken by the Agatu people of central Nigeria, belonging to the Idomoid branch.
-
D.
Anuki language
The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
-
E.
Nitinaht language
The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b586f21c48190af6e2d1e1bb3cbb9 |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5f8bd08190b325b9dd91e199e1 |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7044c94c81909a43b04f40af2a15 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:07 p.m.