Triple
T6727062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoava language |
E153542
|
entity |
| Predicate | hasNeighbouringLanguage |
P16383
|
FINISHED |
| Object | Vangunu language |
E533112
|
NE FINISHED |
How this triple was built (2 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: Vangunu language | Statement: [Hoava language, hasNeighbouringLanguage, Vangunu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vangunu language Context triple: [Hoava language, hasNeighbouringLanguage, Vangunu language]
-
A.
Vangunu language
chosen
The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Kapingamarangi language
The Kapingamarangi language is a Polynesian outlier language spoken primarily on Kapingamarangi Atoll in the Federated States of Micronesia.
-
D.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
E.
Ruvu languages
The Ruvu languages are a subgroup of Bantu languages spoken primarily in eastern Tanzania, characterized by close mutual relationships and shared phonological and grammatical features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d152a4908190a041f2049240e7ca |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afea37881909a4fdce4b3229e38 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:08 p.m.