Triple

T20486822
Position Surface form Disambiguated ID Type / Status
Subject St. Bridget’s Convent ruins E502615 entity
Predicate near P350 FINISHED
Object Pirita beach NE NERFINISHED

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: Pirita beach | Statement: [St. Bridget’s Convent ruins, near, Pirita beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirita beach
Context triple: [St. Bridget’s Convent ruins, near, Pirita beach]
  • A. Pirita Beach chosen
    Pirita Beach is a popular sandy seaside beach in Tallinn, Estonia, known for its long shoreline, recreational facilities, and views across Tallinn Bay.
  • B. Munkkiniemi Beach
    Munkkiniemi Beach is a popular public seaside beach and recreational area in the Munkkiniemi district of Helsinki, Finland.
  • C. Pori Beach
    Pori Beach is a renowned sandy beach on the Greek island of Koufonisia, celebrated for its clear turquoise waters and relaxed, unspoiled atmosphere.
  • D. Pyynikki beach
    Pyynikki beach is a popular lakeside swimming and recreation area in Tampere, Finland, located along the shores of Lake Pyhäjärvi.
  • E. Liepāja beach
    Liepāja beach is a long, sandy Baltic Sea shoreline in the Latvian city of Liepāja, known for its wide dunes, fine white sand, and popular seaside recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5b96c0819080c47064143cdbc9 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.