Triple

T7157653
Position Surface form Disambiguated ID Type / Status
Subject Lake Maracaibo E166855 entity
Predicate locatedInState P40 FINISHED
Object Zulia E581362 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: Zulia | Statement: [Lake Maracaibo, locatedInState, Zulia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulia
Context triple: [Lake Maracaibo, locatedInState, Zulia]
  • A. Zulia chosen
    Zulia is a state in northwestern Venezuela known for its oil-rich region around Lake Maracaibo and its significant role in the country’s economic and historical development.
  • B. Bolívar State
    Bolívar State is a vast, mineral-rich region in southeastern Venezuela known for its dramatic landscapes, including the Guiana Highlands and the world’s highest uninterrupted waterfall, Angel Falls.
  • C. Carabobo, Venezuela
    Carabobo is a central Venezuelan state known as a key agricultural and industrial region and as the site of the decisive Battle of Carabobo in the country’s war of independence.
  • D. Monagas State
    Monagas State is an eastern Venezuelan state known for its oil production, agricultural activities, and capital city Maturín.
  • E. Guárico State
    Guárico State is a central Venezuelan state characterized by vast plains (llanos), agriculture and cattle ranching, and a predominantly rural landscape.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80f14808190907ee84523630d85 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adbbe8008190b470cf049ba4be52 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.