Triple

T5245271
Position Surface form Disambiguated ID Type / Status
Subject Urabá region E118442 entity
Predicate majorCity P316 FINISHED
Object Carepa E503560 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: Carepa | Statement: [Urabá region, majorCity, Carepa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carepa
Context triple: [Urabá region, majorCity, Carepa]
  • A. Carepa chosen
    Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
  • B. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • C. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • D. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • E. Noasca
    Noasca is a small Italian mountain village in the Piedmont region, known as a gateway to the Gran Paradiso National Park and a base for alpine hiking and nature tourism.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.