Triple

T15084686
Position Surface form Disambiguated ID Type / Status
Subject FCT Abuja E360239 entity
Predicate namedAfter P63 FINISHED
Object Abuja (city) E9148 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: Abuja (city) | Statement: [FCT Abuja, namedAfter, Abuja (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abuja (city)
Context triple: [FCT Abuja, namedAfter, Abuja (city)]
  • A. Abuja chosen
    Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
  • B. Lagos–Abuja
    Lagos–Abuja is a major domestic air route in Nigeria connecting the country’s largest city, Lagos, with its capital, Abuja.
  • C. Central Business District, Abuja
    Central Business District, Abuja is the main commercial and administrative hub of Nigeria’s capital city, hosting key government institutions, corporate offices, and major businesses.
  • D. Lagos
    Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
  • E. Lagos
    Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00275cfa88190a13fe20b585d9fcb completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31fa31c8190a22a27f5572e4334 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:03 a.m.