Triple

T15366222
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate includesState P285 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: [Western Venezuela, includesState, Zulia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulia
Context triple: [Western Venezuela, includesState, 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. Zulia State
    Zulia State is a resource-rich region in northwestern Venezuela, known for its oil industry, Lake Maracaibo, and cultural distinctiveness.
  • C. Falcón state
    Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
  • D. 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.
  • E. Cojedes State
    Cojedes State is a small inland state in central Venezuela known for its agricultural economy and cattle ranching.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2754648190bfd0bd15f20b40d2 completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 3:18 a.m.