Triple
T6786980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalik language |
E155831
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Notsi language |
E529781
|
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: Notsi language | Statement: [Nalik language, isRelatedTo, Notsi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Notsi language Context triple: [Nalik language, isRelatedTo, Notsi language]
-
A.
Notsi language
chosen
The Notsi language is an Oceanic language of New Ireland Province in Papua New Guinea, spoken by a small indigenous community and closely related to neighboring New Ireland languages.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Nzema language
Nzema is a Central Tano (Potou–Tano) Niger-Congo language spoken primarily by the Nzema people of southwestern Ghana and southeastern Côte d’Ivoire.
-
D.
Namuyi language
The Namuyi language is a lesser-known Sino-Tibetan language spoken by the Namuyi people in parts of Sichuan and Yunnan in southwestern China.
-
E.
Nembe language
The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cc35cc8190b5affdfd363171ba |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:14 p.m.