Triple

T12099495
Position Surface form Disambiguated ID Type / Status
Subject Eti-Osa E288153 entity
Predicate containsArea P11790 FINISHED
Object Sangotedo E288151 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: Sangotedo | Statement: [Eti-Osa, containsArea, Sangotedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangotedo
Context triple: [Eti-Osa, containsArea, Sangotedo]
  • A. Sangotedo chosen
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • B. Mandara
    Mandara is a Chadic language spoken primarily in parts of Cameroon and Nigeria, associated with the Mandara (Wandala) ethnic group.
  • C. Tambomachay
    Tambomachay is an Inca archaeological site near Cusco, Peru, known for its finely crafted stonework and ceremonial water fountains.
  • D. Tunupa
    Tunupa is a prominent dormant volcano and sacred mountain in Bolivia, overlooking the Uyuni Salt Flat on the country’s Andean Altiplano.
  • E. Taur Matan Ruak
    Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7e1ab481909c25ba3dd3fff9b3 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.