Triple

T14756385
Position Surface form Disambiguated ID Type / Status
Subject Valencia, Carabobo, Venezuela E346738 entity
Predicate nearbyCity P350 FINISHED
Object Maracay E174040 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: Maracay | Statement: [Valencia, Carabobo, Venezuela, nearbyCity, Maracay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maracay
Context triple: [Valencia, Carabobo, Venezuela, nearbyCity, Maracay]
  • A. Maracay chosen
    Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
  • B. Barquisimeto
    Barquisimeto is a major city in western Venezuela known as a commercial and cultural center, often called the "Musical City" for its rich musical traditions.
  • C. Diego Martin
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • D. Puerto Cabello
    Puerto Cabello is a major port city on Venezuela’s Caribbean coast, historically important for trade and naval activity.
  • E. Puerto Plata
    Puerto Plata is a historic coastal city in the Dominican Republic known for its significant Afro-Dominican population, tourism, and role as a major port on the Atlantic coast.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.