Triple
T13706531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zo people |
E328654
|
entity |
| Predicate | speaks |
P741
|
FINISHED |
| Object | Zo language |
E575834
|
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: Zo language | Statement: [Zo people, speaks, Zo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zo language Context triple: [Zo people, speaks, Zo language]
-
A.
Zo language
chosen
Zo language is a Tibeto-Burman language spoken primarily by the Zo people in parts of northeastern India and Myanmar.
-
B.
Zan languages
The Zan languages are a small branch of the Kartvelian language family of the South Caucasus, comprising primarily the Mingrelian and Laz languages spoken along the Black Sea coast of Georgia and Turkey.
-
C.
Zanaki language
The Zanaki language is a Bantu language spoken by the Zanaki people of northern Tanzania, known for being the mother tongue of former Tanzanian president Julius Nyerere.
-
D.
Zaiwa language
The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
-
E.
Dazaga language
The Dazaga language is a Saharan language spoken primarily by the Daza (Tebu) people in Chad, Niger, Libya, and surrounding regions.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.