Triple

T12216769
Position Surface form Disambiguated ID Type / Status
Subject Old Town, Prague E291105 entity
Predicate knownFor P22 FINISHED
Object Old Town Square E89484 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: Old Town Square | Statement: [Old Town, Prague, knownFor, Old Town Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town Square
Context triple: [Old Town, Prague, knownFor, Old Town Square]
  • A. Old Town Square chosen
    Old Town Square is a historic central plaza in Prague renowned for its medieval architecture, Astronomical Clock, and vibrant cultural atmosphere.
  • B. Charles Square
    Charles Square is one of the largest historic squares in Prague, serving as a major public space and transport hub in the city’s New Town.
  • C. Tykocin Market Square
    Tykocin Market Square is a historic central plaza in the town of Tykocin, Poland, known for its well-preserved architecture and traditional small-town charm.
  • D. Krakonoš Square
    Krakonoš Square is the historic central town square of Trutnov in the Czech Republic, known for its traditional architecture, shops, and cultural events.
  • E. Wenceslas Square
    Wenceslas Square is a major historic boulevard and commercial center in Prague, renowned as a focal point for political demonstrations and public gatherings in Czech history.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a8c69308190bffae7b38cc5620b completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:51 p.m.