Triple

T12751674
Position Surface form Disambiguated ID Type / Status
Subject Peñalolén E304749 entity
Predicate borderedBy P224 FINISHED
Object La Reina E295693 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 Reina | Statement: [Peñalolén, borderedBy, La Reina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Reina
Context triple: [Peñalolén, borderedBy, La Reina]
  • A. La Reina chosen
    La Reina is a residential and commercial commune in eastern Santiago, Chile, known for its quiet neighborhoods and proximity to the Andes foothills.
  • B. Los Jardines de la Reina
    Los Jardines de la Reina is a remote Cuban marine reserve renowned for its exceptionally well-preserved coral reefs and rich marine biodiversity, making it a premier destination for diving and conservation.
  • C. Queen of Kings
    Queen of Kings was the imperial title held by Empress Zewditu I of Ethiopia, signifying her status as the reigning monarch and supreme ruler of the Ethiopian Empire.
  • D. The Royal
    The Royal is a major annual agricultural and equestrian fair held in Toronto, showcasing livestock, horse shows, food, and rural traditions.
  • E. The Royal
    The Royal is a tram stop on the West Midlands Metro light rail system serving the local area in the West Midlands, England.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ee2ab4819099194d115d2e5a15 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:27 p.m.