Triple

T8947599
Position Surface form Disambiguated ID Type / Status
Subject New Town, Prague E213259 entity
Predicate hasLandmark P105 FINISHED
Object Charles Square E770417 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: Charles Square | Statement: [New Town, Prague, hasLandmark, Charles Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Square
Context triple: [New Town, Prague, hasLandmark, Charles Square]
  • A. Charles Square chosen
    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.
  • B. 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.
  • C. Old Town Square
    Old Town Square is a historic central plaza in Prague renowned for its medieval architecture, Astronomical Clock, and vibrant cultural atmosphere.
  • D. Republic Square
    Republic Square is the central public square of Yerevan, Armenia, known for its grand Soviet-era architecture, musical fountains, and role as a focal point for civic and cultural events.
  • E. Republic Square
    Republic Square is a central public plaza in Belgrade known for its historic buildings, cultural institutions, and role as a major gathering place in the city.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01732bf408190b64ce7687d91a502 completed April 3, 2026, 7:38 p.m.
Created at: March 30, 2026, 6:59 p.m.