Triple
T6423826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceanic languages |
E128008
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Drehu language |
E153638
|
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: Drehu language | Statement: [Oceanic languages, hasMember, Drehu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drehu language Context triple: [Oceanic languages, hasMember, Drehu language]
-
A.
Drehu language
chosen
The Drehu language is an Oceanic language spoken primarily on Lifou Island in New Caledonia, notable for its rich oral tradition and status as one of the territory’s recognized regional languages.
-
B.
Dolgan language
The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
-
C.
Dargwa language
The Dargwa language is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
D.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
E.
Tokodede language
Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06906eea88190a445c1ff1169c2b1 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640dc01188190b67290801aae0d6c |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.