Triple
T6295973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bidayuh people |
E141131
|
entity |
| Predicate | commonSecondLanguage |
P1894
|
FINISHED |
| Object | Iban |
E132870
|
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: Iban | Statement: [Bidayuh people, commonSecondLanguage, Iban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iban Context triple: [Bidayuh people, commonSecondLanguage, Iban]
-
A.
Iban people
chosen
The Iban people are an indigenous Dayak ethnic group of Borneo known for their longhouse communities, rich oral traditions, and history of seafaring and warrior culture.
-
B.
Ifo
Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
-
C.
Iban language
The Iban language is an Austronesian language spoken primarily by the Iban people of Borneo, especially in Sarawak, Malaysia, and parts of Kalimantan, Indonesia.
-
D.
Sijistan
Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
-
E.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.