Triple

T12466533
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Cross at Hardingstone E297938 entity
Predicate oneOfRemainingEleanorCrosses P104569 FINISHED
Object yes 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: yes | Statement: [Eleanor Cross at Hardingstone, oneOfRemainingEleanorCrosses, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfRemainingEleanorCrosses
Context triple: [Eleanor Cross at Hardingstone, oneOfRemainingEleanorCrosses, yes]
  • A. survivingEleanorCrosses chosen
    Indicates that the subject is one of the Eleanor Cross monuments that still exists today, as opposed to those that have been lost or destroyed.
  • B. crossesTo
    Indicates that one entity moves or extends from one side or area to another, passing over or through some boundary or intervening space.
  • C. crossesIn
    Indicates that one entity passes over or through the path, boundary, or area occupied by another entity, intersecting its space or trajectory.
  • D. crossesFormerly
    Indicates that one entity currently crosses another entity in a way that it did not do so in the past, reflecting a change from a previous non-crossing state.
  • E. crossedWith
    Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
  • F. None of above.

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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e626dbc8190ac7dcdb542ba9b0c completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d3f701c81909dd0e00251ac8553 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.