Triple

T5847693
Position Surface form Disambiguated ID Type / Status
Subject National University of Trujillo E129751 entity
Predicate city P40 FINISHED
Object Trujillo E22210 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: Trujillo | Statement: [National University of Trujillo, city, Trujillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trujillo
Context triple: [National University of Trujillo, city, Trujillo]
  • A. Trujillo chosen
    Trujillo is a major coastal city in northwestern Peru known for its colonial architecture, cultural festivals, and proximity to important pre-Columbian archaeological sites.
  • B. Trujillo
    Trujillo is a historic Spanish town in the region of Extremadura, renowned for its well-preserved medieval architecture and impressive main square.
  • C. Trujillo
    Trujillo is a common Spanish surname associated with various notable individuals, places, and historical figures across the Spanish-speaking world.
  • D. Santiago de Veraguas
    Santiago de Veraguas is a principal urban and commercial center in western Panama and the capital of Veraguas Province.
  • E. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfd6cffc8190b65252f02055e89c completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:55 p.m.