Triple

T14370401
Position Surface form Disambiguated ID Type / Status
Subject Province of Maracaibo E356343 entity
Predicate capital P234 FINISHED
Object Maracaibo 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 | Statement: [Province of Maracaibo, capital, Maracaibo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maracaibo
Context triple: [Province of Maracaibo, capital, Maracaibo]
  • 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. Caracas
    Caracas is the capital and largest city of Venezuela, known as a major political, cultural, and economic center in northern South America.
  • 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. Ciudad Guayana
    Ciudad Guayana is a major industrial city in eastern Venezuela, known for its steel and aluminum production and its strategic location at the confluence of the Orinoco and Caroní rivers.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7ed3ec8190b97128733419845b completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:15 a.m.