Triple

T2041475
Position Surface form Disambiguated ID Type / Status
Subject Alexander Column E44754 entity
Predicate location P40 FINISHED
Object Palace Square E6921 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: Palace Square | Statement: [Alexander Column, location, Palace Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palace Square
Context triple: [Alexander Column, location, Palace Square]
  • A. Palace Square chosen
    Palace Square is the grand central square of St. Petersburg, Russia, known for its historic role in imperial ceremonies and revolutionary events and for being framed by the Winter Palace and the General Staff Building.
  • B. Victory Square
    Victory Square is a prominent war memorial and public square in Minsk, Belarus, dedicated to the Soviet victory in World War II and serving as a central site for commemorations and civic gatherings.
  • C. People’s Square
    People’s Square is a major public plaza and transportation hub in central Shanghai, surrounded by key cultural, governmental, and commercial landmarks.
  • D. Market Square
    Market Square is a central public plaza and focal point of commercial and social activity in Saint Peter Port, Guernsey.
  • E. Market Square
    Market Square is the historic central marketplace and civic hub of Cambridge, England, surrounded by shops, stalls, and notable university buildings.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9545aa08190ac74e49e70c4c349 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304cc62c81909d152ee6ae543d7e completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:39 p.m.