Triple

T10939343
Position Surface form Disambiguated ID Type / Status
Subject Sanok E258423 entity
Predicate hasLandmark P105 FINISHED
Object Market Square E804357 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: Market Square | Statement: [Sanok, hasLandmark, Market Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Market Square
Context triple: [Sanok, hasLandmark, Market Square]
  • A. Market Square
    Market Square is a central public square in Leominster, typically serving as a focal point for local commerce, events, and community gatherings.
  • B. Market Square chosen
    Market Square is the historic central plaza of Chojnice, serving as a focal point for the town’s social, commercial, and cultural life.
  • C. Market Square
    Market Square is the historic central marketplace and civic hub of Cambridge, England, surrounded by shops, stalls, and notable university buildings.
  • 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 a historic open-air plaza in downtown Knoxville known for its restaurants, shops, events, and vibrant public gatherings.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:23 p.m.