Triple

T2669755
Position Surface form Disambiguated ID Type / Status
Subject Ikorodu E55720 entity
Predicate region P40 FINISHED
Object Ikorodu Division E55720 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: Ikorodu Division | Statement: [Ikorodu, region, Ikorodu Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikorodu Division
Context triple: [Ikorodu, region, Ikorodu Division]
  • A. Nzega District
    Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
  • B. Bhamo region
    Bhamo region is an area in northern Myanmar near the Chinese border, historically significant as a strategic transit point and river port along routes such as the World War II-era Ledo Road.
  • C. Guarda District
    Guarda District is an inland administrative region in northeastern Portugal known for its mountainous landscapes, historic fortified towns, and proximity to the Douro wine region.
  • D. Urambo District
    Urambo District is an administrative district in western Tanzania known for its rural communities and tobacco farming, located within the Tabora Region.
  • E. Ikorodu chosen
    Ikorodu is a rapidly growing suburban city and local government area in the northeastern part of Lagos State, Nigeria, known for its residential communities and emerging commercial activity.
  • 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_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.
Created at: March 6, 2026, 9:54 p.m.