Triple
T22107404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segai language |
E546320
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Modang language |
—
|
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: Modang language | Statement: [Segai language, relatedTo, Modang language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modang language Context triple: [Segai language, relatedTo, Modang language]
-
A.
Modang language
chosen
The Modang language is an Austronesian language spoken by the Modang people of Borneo, primarily in East Kalimantan, Indonesia.
-
B.
Munji language
The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
-
C.
Jangil language
The Jangil language is an extinct and poorly documented Ongan language once spoken by the Jangil (Rutland Island) people of the Andaman Islands in India.
-
D.
Baangi language
The Baangi language is a lesser-known Nupoid (Benue–Congo) language spoken by a small community in Nigeria.
-
E.
Maonan language
The Maonan language is a Kam–Sui language of the Tai–Kadai family spoken primarily by the Maonan ethnic group in southern China.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291adc74819092c7753bb6f3768d |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.