Triple
T9683066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trobriand Islands |
E234333
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Kilivila |
E696163
|
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: Kilivila | Statement: [Trobriand Islands, primaryLanguage, Kilivila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilivila Context triple: [Trobriand Islands, primaryLanguage, Kilivila]
-
A.
Kilivila
chosen
Kilivila is an Austronesian language spoken by the Trobriand Islanders of Papua New Guinea.
-
B.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
-
C.
Kile
Kile is a KDE-based integrated LaTeX editor that provides tools for writing, compiling, and previewing LaTeX documents efficiently.
-
D.
Tsilivi
Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
-
E.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccdbcc48190a4a9a70b3f419ac2 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcbbe0108190a7011d52ba24ba4b |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:16 p.m.