Triple

T15266393
Position Surface form Disambiguated ID Type / Status
Subject Lagos Mainland E364910 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Fadeyi E963370 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: Fadeyi | Statement: [Lagos Mainland, hasNeighbourhood, Fadeyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fadeyi
Context triple: [Lagos Mainland, hasNeighbourhood, Fadeyi]
  • A. Fadeyi chosen
    Fadeyi is a busy urban neighborhood in Lagos, Nigeria, known for its strategic location along major transport routes and its mix of residential and commercial activity.
  • B. Feydey
    Feydey is a small locality in the Swiss Alps near Leysin, known primarily as a residential and resort area within the Vaud canton.
  • C. Fawohodie
    Fawohodie is an Adinkra symbol representing freedom, independence, and emancipation in Akan culture.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • 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.