Triple

T13146868
Position Surface form Disambiguated ID Type / Status
Subject St Nicholas Church, Pyrford E312360 entity
Predicate hasWallPaintingStyle P108769 FINISHED
Object Romanesque LITERAL 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: Romanesque | Statement: [St Nicholas Church, Pyrford, hasWallPaintingStyle, Romanesque]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWallPaintingStyle
Context triple: [St Nicholas Church, Pyrford, hasWallPaintingStyle, Romanesque]
  • A. hasWorkPaintedOnWalls
    Indicates that an entity has created or produced artwork that is painted on walls.
  • B. hasStreetArtStyle
    Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
  • C. paintedIn
    Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
  • D. hasAltarpiecesInStyle
    Indicates that an entity possesses or features altarpieces that are created or designed in a specified artistic style.
  • E. hasWallTileColor
    Indicates that an entity’s wall tiles possess a specific color.
  • F. None of above. chosen

Provenance (4 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69d98bbd1d088190b7c69f37fc6eeb64 completed April 10, 2026, 11:46 p.m.
PDg Predicate description generation batch_69d98ceeb22c8190a6be666031d9e5a4 completed April 10, 2026, 11:51 p.m.
Created at: April 9, 2026, 9:10 p.m.