Triple

T15266383
Position Surface form Disambiguated ID Type / Status
Subject Lagos Mainland E364910 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Bariga
Bariga is a densely populated, historically working-class neighborhood in Lagos, Nigeria, known for its vibrant street life and cultural scene.
E1148862 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: Bariga | Statement: [Lagos Mainland, hasNeighbourhood, Bariga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bariga
Context triple: [Lagos Mainland, hasNeighbourhood, Bariga]
  • A. Ilesa
    Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
  • B. Ganduje
    Ganduje is the surname of Abdullahi Umar Ganduje, a prominent Nigerian politician and former governor of Kano State.
  • C. Ogbomoso
    Ogbomoso is a major Yoruba city in southwestern Nigeria known for its agricultural trade, historic role in regional wars, and vibrant cultural heritage.
  • D. Owode
    Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
  • E. Gbagada
    Gbagada is a residential and commercial district in Lagos, Nigeria, known for its strategic location along the Oshodi–Apapa Expressway and its mix of middle-class housing, businesses, and healthcare facilities.
  • 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: Bariga
Triple: [Lagos Mainland, hasNeighbourhood, Bariga]
Generated description
Bariga is a densely populated, historically working-class neighborhood in Lagos, Nigeria, known for its vibrant street life and cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bariga
Target entity description: Bariga is a densely populated, historically working-class neighborhood in Lagos, Nigeria, known for its vibrant street life and cultural scene.
  • A. Ilesa
    Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
  • B. Ganduje
    Ganduje is the surname of Abdullahi Umar Ganduje, a prominent Nigerian politician and former governor of Kano State.
  • C. Ogbomoso
    Ogbomoso is a major Yoruba city in southwestern Nigeria known for its agricultural trade, historic role in regional wars, and vibrant cultural heritage.
  • D. Owode
    Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
  • E. Gbagada
    Gbagada is a residential and commercial district in Lagos, Nigeria, known for its strategic location along the Oshodi–Apapa Expressway and its mix of middle-class housing, businesses, and healthcare facilities.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6fc290819096ef03f8ecae8876 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef38868548190877cf25a38bb805a completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:14 a.m.