Triple

T15266385
Position Surface form Disambiguated ID Type / Status
Subject Lagos Mainland E364910 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Egbeda
Egbeda is a densely populated residential and commercial neighborhood in Lagos, Nigeria, known for its busy markets, nightlife, and proximity to major transport routes.
 E1149943 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: Egbeda | Statement: [Lagos Mainland, hasNeighbourhood, Egbeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Egbeda
Context triple: [Lagos Mainland, hasNeighbourhood, Egbeda]
  • A. Ugbokpo
    Ugbokpo is a town in Benue State, Nigeria, serving as the administrative headquarters of Apa Local Government Area.
  • B. Elegbá
    Elegbá is a powerful Yoruba and Afro-Caribbean orisha known as the divine messenger and guardian of crossroads, communication, and destiny.
  • C. Igbesa
    Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
  • D. Mmahu-Egbema
    Mmahu-Egbema is a town in Imo State, southeastern Nigeria, serving as the administrative center of the Ohaji/Egbema Local Government Area.
  • E. Agbani
    Agbani is a town in southeastern Nigeria known as an educational and administrative hub within Enugu State.
  • 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: Egbeda
Triple: [Lagos Mainland, hasNeighbourhood, Egbeda]
Generated description
Egbeda is a densely populated residential and commercial neighborhood in Lagos, Nigeria, known for its busy markets, nightlife, and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Egbeda
Target entity description: Egbeda is a densely populated residential and commercial neighborhood in Lagos, Nigeria, known for its busy markets, nightlife, and proximity to major transport routes.
  • A. Ugbokpo
    Ugbokpo is a town in Benue State, Nigeria, serving as the administrative headquarters of Apa Local Government Area.
  • B. Elegbá
    Elegbá is a powerful Yoruba and Afro-Caribbean orisha known as the divine messenger and guardian of crossroads, communication, and destiny.
  • C. Igbesa
    Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
  • D. Mmahu-Egbema
    Mmahu-Egbema is a town in Imo State, southeastern Nigeria, serving as the administrative center of the Ohaji/Egbema Local Government Area.
  • E. Agbani
    Agbani is a town in southeastern Nigeria known as an educational and administrative hub within Enugu State.
  • 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_69fef895f9708190a44ee7ade1c46a7d completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefb0176948190980ed32ba8dc2d5c completed May 9, 2026, 9:14 a.m.
NED2 Entity disambiguation (via description) batch_69fefb64420481908edf5766b32a2aaf completed May 9, 2026, 9:16 a.m.
Created at: April 10, 2026, 3:14 a.m.