Triple

T13766085
Position Surface form Disambiguated ID Type / Status
Subject Universidad Católica Andrés Bello E330745 entity
Predicate city P40 FINISHED
Object Caracas E54898 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: Caracas | Statement: [Universidad Católica Andrés Bello, city, Caracas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracas
Context triple: [Universidad Católica Andrés Bello, city, Caracas]
  • A. Caracas chosen
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • B. Maracaibo
    Maracaibo is a major Venezuelan city known as an important oil-producing and commercial center located on the western shore of Lake Maracaibo.
  • C. 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.
  • D. 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.
  • E. Bogotá
    Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a864c0ac81909e5fcd134ea66414 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.