Triple

T2897340
Position Surface form Disambiguated ID Type / Status
Subject City of Bruges E63971 entity
Predicate hasLandmark P105 FINISHED
Object Burg Square E220830 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: Burg Square | Statement: [City of Bruges, hasLandmark, Burg Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burg Square
Context triple: [City of Bruges, hasLandmark, Burg Square]
  • A. Burg Square chosen
    Burg Square is a historic central square in Bruges, Belgium, known for its medieval architecture and important civic and religious buildings.
  • B. Fountain Square
    Fountain Square is a prominent public plaza and gathering place in downtown Cincinnati, Ohio, known for its central fountain, events, and role as a civic and cultural hub.
  • 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. Cathedral Square
    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.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe08e7b248190a6bb0f6999f99c23 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108cc4870819081e68032517468a8 completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 10:08 p.m.