Triple

T15841538
Position Surface form Disambiguated ID Type / Status
Subject Venezuelan Armed Forces E384112 entity
Predicate headquartersLocation P62 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: [Venezuelan Armed Forces, headquartersLocation, Caracas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracas
Context triple: [Venezuelan Armed Forces, headquartersLocation, 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e764088190afba6c5c1acf8199 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13eab4881908794104508ba53af completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:50 a.m.