Triple

T13377574
Position Surface form Disambiguated ID Type / Status
Subject Pico de Orizaba region E319228 entity
Predicate containsSettlement P847 FINISHED
Object La Perla E429417 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: La Perla | Statement: [Pico de Orizaba region, containsSettlement, La Perla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Perla
Context triple: [Pico de Orizaba region, containsSettlement, La Perla]
  • A. La Perla chosen
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • B. La Perla
    La Perla is a coastal urban district within the Lima metropolitan area of Peru, known for its dense residential neighborhoods and proximity to the Pacific Ocean.
  • C. Perla
    Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • D. Pearl of Pearls
    Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
  • E. La Joya
    La Joya is the nickname of Argentine footballer Paulo Dybala, highlighting his status as a highly skilled and valuable attacking player.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726893a8c8190b26b5f7c7fb96f1f completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.