Triple

T2669816
Position Surface form Disambiguated ID Type / Status
Subject Third Mainland Bridge E55721 entity
Predicate near P350 FINISHED
Object 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.
 E288160 NE FINISHED

How this triple was built (4 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: Yaba | Statement: [Third Mainland Bridge, near, Yaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yaba
Context triple: [Third Mainland Bridge, near, Yaba]
  • A. Ile-Ife
    Ile-Ife is an ancient Yoruba city in southwestern Nigeria revered as the spiritual and cultural cradle of the Yoruba people and renowned for its sophisticated early art and urban civilization.
  • B. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • C. Dandora
    Dandora is a residential and industrial area in Nairobi, Kenya, best known for hosting one of Africa’s largest open-air garbage dumps.
  • D. Lekki
    Lekki is the official mascot character created for the XVIII Olympic Winter Games.
  • E. Lekki
    Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yaba
Triple: [Third Mainland Bridge, near, Yaba]
Generated description
Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yaba
Target entity description: Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
  • A. Ile-Ife
    Ile-Ife is an ancient Yoruba city in southwestern Nigeria revered as the spiritual and cultural cradle of the Yoruba people and renowned for its sophisticated early art and urban civilization.
  • B. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • C. Dandora
    Dandora is a residential and industrial area in Nairobi, Kenya, best known for hosting one of Africa’s largest open-air garbage dumps.
  • D. Lekki
    Lekki is the official mascot character created for the XVIII Olympic Winter Games.
  • E. Lekki
    Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
  • F. None of above. chosen

Provenance (5 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98d32ac8190b8edd9421b706532 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05d028c8190860587da07ea7e9b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0fef4c481908db42628cd6e72fe completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1fc3884819094503650206ec788 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.