Triple
T12298548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger Junction |
E293153
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Wuse |
E60034
|
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: Wuse | Statement: [Berger Junction, servesArea, Wuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuse Context triple: [Berger Junction, servesArea, Wuse]
-
A.
Wuse
chosen
Wuse is a prominent commercial and residential district in Nigeria’s capital city, Abuja, known for its bustling markets, businesses, and government offices.
-
B.
Bwari
Bwari is a local government area and rapidly developing suburban town within Nigeria’s Federal Capital Territory, near Abuja.
-
C.
Yaba
Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
-
D.
Lekki
Lekki is a rapidly developing coastal city and affluent residential and commercial hub in Lagos State, Nigeria.
-
E.
Lekki
Lekki is the official mascot character created for the XVIII Olympic Winter Games.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8cf0e8819088f5ee03495bbf61 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:52 p.m.