Triple

T15266376
Position Surface form Disambiguated ID Type / Status
Subject Lagos Mainland E364910 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Yaba E288160 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: Yaba | Statement: [Lagos Mainland, hasNeighbourhood, Yaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaba
Context triple: [Lagos Mainland, hasNeighbourhood, Yaba]
  • A. Yaba chosen
    Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
  • B. Oyo Town
    Oyo Town is a historic Yoruba city in southwestern Nigeria that once served as the political and cultural center of the Oyo Empire.
  • C. 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.
  • D. Ojo
    Ojo is a suburban local government area in Lagos State, Nigeria, known for its rapidly growing residential communities and the presence of institutions like Lagos State University.
  • E. Ojo
    Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
  • 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_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_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.