Triple
T12442435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogoniland |
E297308
|
entity |
| Predicate | majorEthnicSubgroups |
P45393
|
FINISHED |
| Object | Gokana |
E288436
|
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: Gokana | Statement: [Ogoniland, majorEthnicSubgroups, Gokana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gokana Context triple: [Ogoniland, majorEthnicSubgroups, Gokana]
-
A.
Gokana
chosen
Gokana is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct language and cultural traditions within the Niger Delta region.
-
B.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
C.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
D.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
E.
Gucun
Gucun is a town in Shanghai, China, known for giving its name to the large urban Gucun Park.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66857f5c88190b72debe80fb87727 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:55 p.m.