Triple

T5734136
Position Surface form Disambiguated ID Type / Status
Subject Moche Valley E126457 entity
Predicate hasCity P316 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: [Moche Valley, hasCity, Trujillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trujillo
Context triple: [Moche Valley, hasCity, 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a931b3c819092119a1587625eb5 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.