Triple

T15366271
Position Surface form Disambiguated ID Type / Status
Subject Apure State E367421 entity
Predicate borderWith P224 FINISHED
Object Táchira State E665973 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: Táchira State | Statement: [Apure State, borderWith, Táchira State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Táchira State
Context triple: [Apure State, borderWith, Táchira State]
  • A. Táchira State chosen
    Táchira State is a western Venezuelan state in the Andes region, known for its mountainous terrain, agricultural production, and border with Colombia.
  • B. Zulia State
    Zulia State is a resource-rich region in northwestern Venezuela, known for its oil industry, Lake Maracaibo, and cultural distinctiveness.
  • C. Guárico State
    Guárico State is a central Venezuelan state characterized by vast plains (llanos), agriculture and cattle ranching, and a predominantly rural landscape.
  • D. Cojedes State
    Cojedes State is a small inland state in central Venezuela known for its agricultural economy and cattle ranching.
  • E. Falcón state
    Falcón state is a coastal region in northwestern Venezuela known for its colonial architecture, arid landscapes, and significant Afro-Venezuelan cultural presence.
  • 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_69ff6ec4e868819092739e71118d43b0 completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 3:18 a.m.