Triple
T14898029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jukun |
E359929
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object | Jukun Takum |
E1070889
|
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: Jukun Takum | Statement: [Jukun, subgroup, Jukun Takum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jukun Takum Context triple: [Jukun, subgroup, Jukun Takum]
-
A.
Jukun Takum
chosen
Jukun Takum is a dialect or variety of the Jukun language spoken by the Jukun people, primarily in parts of Nigeria.
-
B.
Urakawa
Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
-
C.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
D.
Niijuku
Niijuku is a neighborhood located within Katsushika ward in Tokyo, Japan.
-
E.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b30c6881908b80ca96fb5b716f |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:11 a.m.