Triple

T19996076
Position Surface form Disambiguated ID Type / Status
Subject Carabobo E494195 entity
Predicate borders P224 FINISHED
Object Yaracuy NE NERFINISHED

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: Yaracuy | Statement: [Carabobo, borders, Yaracuy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaracuy
Context triple: [Carabobo, borders, Yaracuy]
  • A. Yaracuy state chosen
    Yaracuy state is a region in north-central Venezuela known for its significant Afro-Venezuelan population, agricultural production, and rich cultural traditions.
  • B. Zulia
    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.
  • C. Apure State
    Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
  • D. Anzoátegui
    Anzoátegui is a northeastern Venezuelan state known for its Caribbean coastline, oil industry, and diverse landscapes ranging from coastal plains to mountainous areas.
  • E. Amazonas State (Venezuela)
    Amazonas State (Venezuela) is a vast, sparsely populated state in southern Venezuela known for its Amazon rainforest, indigenous communities, and rich biodiversity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.