Triple

T8183233
Position Surface form Disambiguated ID Type / Status
Subject Grand Kremlin Palace E191118 entity
Predicate locatedNear P294 FINISHED
Object Cathedral Square E129816 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: Cathedral Square | Statement: [Grand Kremlin Palace, locatedNear, Cathedral Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathedral Square
Context triple: [Grand Kremlin Palace, locatedNear, Cathedral Square]
  • A. Cathedral Square chosen
    Cathedral Square is the central historic plaza within the Moscow Kremlin, surrounded by several major cathedrals and palaces and long used for important state and religious ceremonies.
  • B. Dome Square
    Dome Square is a central and historic public square in Riga’s Old Town, known for its surrounding medieval architecture, cafes, and cultural events.
  • C. Courthouse Square
    Courthouse Square is a central public plaza and community gathering space in downtown Redwood City, California, known for hosting events, concerts, and civic activities.
  • D. Burg Square
    Burg Square is a historic central square in Bruges, Belgium, known for its medieval architecture and important civic and religious buildings.
  • E. Court Square
    Court Square is a New York City Subway complex in Long Island City, Queens, serving as a key transfer point between multiple subway lines.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:41 p.m.