Triple
T16958346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ijoid |
E411361
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Kolokuma |
E1236440
|
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: Kolokuma | Statement: [Ijoid, hasLanguage, Kolokuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolokuma Context triple: [Ijoid, hasLanguage, Kolokuma]
-
A.
Kolokuma
chosen
Kolokuma is a dialect of the Ijo language spoken primarily by the Kolokuma people in Nigeria’s Bayelsa State.
-
B.
Kolis
The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine regions.
-
C.
Kouloukonas
Kouloukonas is a mountain range in the Rethymno region of Crete, Greece, known for its rugged terrain and traditional Cretan landscapes.
-
D.
Kumna
Kumna is a village located in Harku Parish in northern Estonia.
-
E.
Kolahun
Kolahun is a town in northwestern Liberia that serves as one of the main local centers of administration and commerce in Lofa County.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01d34d08190a73ce48e9988bd97 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc06e6b481908d8032f5772762c9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.