Triple
T23409141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsou |
E560015
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Bunun |
—
|
NE NERFINISHED |
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: Bunun | Statement: [Tsou, relatedGroup, Bunun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunun Context triple: [Tsou, relatedGroup, Bunun]
-
A.
Bunun
chosen
The Bunun are an indigenous Austronesian people of Taiwan known for their rich oral traditions, polyphonic vocal music, and high-mountain agricultural lifestyle.
-
B.
Bun
Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
-
C.
Buna
Buna is the Nazi concentration and labor camp complex near Auschwitz where Elie Wiesel is imprisoned in his memoir "Night."
-
D.
Buna
Buna is a coastal village in Papua New Guinea that was a key site of intense fighting between Allied and Japanese forces during World War II’s New Guinea campaign.
-
E.
Buna
Buna is a short but significant karst river in Bosnia and Herzegovina, renowned for its powerful spring at Blagaj and its contribution to the Neretva river system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50fff10819094e71fb0c11b7d95 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.