Triple
T13937631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor Tiv |
E335159
|
entity |
| Predicate | palaceLocation |
P14412
|
FINISHED |
| Object | Gboko |
E335160
|
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: Gboko | Statement: [Tor Tiv, palaceLocation, Gboko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gboko Context triple: [Tor Tiv, palaceLocation, Gboko]
-
A.
Gboko
chosen
Gboko is a prominent town in Benue State, Nigeria, recognized as a cultural and economic hub for the Tiv people.
-
B.
Basoko
Basoko is a riverside town in the Democratic Republic of the Congo, situated at the confluence of the Aruwimi and Congo Rivers and serving as a local administrative and trading center.
-
C.
Gbese
"Gbese" is a track by Nigerian artist Wizkid featured on his Afrobeat and dancehall-influenced project "Sounds from the Other Side."
-
D.
Gbona
"Gbona" is a popular Afro-fusion song by Nigerian artist Burna Boy, known for its laid-back groove, Yoruba-infused lyrics, and celebration of African resilience and warmth.
-
E.
Ogba
Ogba is an ethnic group and local government area in Rivers State, Nigeria, known for its distinct language and rich cultural traditions.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.