Triple
T4802449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makurdi |
E106865
|
entity |
| Predicate | roadConnection |
P385
|
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: [Makurdi, roadConnection, Gboko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gboko Context triple: [Makurdi, roadConnection, 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.
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.
-
C.
Boroko
Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
-
D.
Gashua
Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
-
E.
Sagbama
Sagbama is a town and local government area in Bayelsa State in Nigeria’s Niger Delta region, known for its riverine communities and oil-rich environment.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c42113081908824f3608e65cbff |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4400103c8190a5417fe75fb50f81 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:23 p.m.