Triple

T15263163
Position Surface form Disambiguated ID Type / Status
Subject Luis Aparicio E364835 entity
Predicate placeOfBirth P1 FINISHED
Object Maracaibo, Venezuela E170084 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: Maracaibo, Venezuela | Statement: [Luis Aparicio, placeOfBirth, Maracaibo, Venezuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maracaibo, Venezuela
Context triple: [Luis Aparicio, placeOfBirth, Maracaibo, Venezuela]
  • A. Maracaibo chosen
    Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
  • B. Mérida, Venezuela
    Mérida, Venezuela is an Andean city known for its colonial architecture, vibrant university life, and proximity to the Sierra Nevada mountains and the Mérida cable car.
  • C. Puerto La Cruz, Venezuela
    Puerto La Cruz, Venezuela is a major Caribbean port city and oil industry hub on the country’s northeastern coast.
  • D. Caracas
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • E. Barinas, Venezuela
    Barinas, Venezuela is a city in western Venezuela that serves as the capital of Barinas state and is known as an agricultural center on the Llanos plains.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6fc290819096ef03f8ecae8876 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.