Triple
T16581680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mapo Hill |
E402845
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Oja’ba market area |
E959646
|
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: Oja’ba market area | Statement: [Mapo Hill, near, Oja’ba market area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oja’ba market area Context triple: [Mapo Hill, near, Oja’ba market area]
-
A.
Idumota Market
Idumota Market is one of the largest and busiest open-air markets in Lagos, Nigeria, known as a major hub for wholesale and retail trade, especially in electronics, films, and household goods.
-
B.
Oja-Oba market
chosen
Oja-Oba market is a central traditional marketplace in Iseyin, Nigeria, known as a major hub for local trade and community activities.
-
C.
Dugbe Market
Dugbe Market is a major commercial hub and traditional open-air marketplace in Ibadan, Nigeria, known for its bustling trade in a wide variety of goods.
-
D.
Oja Oba market
Oja Oba market is a major traditional open-air marketplace and commercial hub located in Ado-Ekiti, Nigeria.
-
E.
Balogun Market
Balogun Market is one of Lagos’s largest and busiest open-air markets, renowned for its vast array of textiles, clothing, and household goods sold at competitive prices.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35998371c8190936dcdaab5ca7e21 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef0bc4c8190b06b03c06d344abf |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.