Triple

T28311058
Position Surface form Disambiguated ID Type / Status
Subject Combermere Abbey E713992 entity
Predicate hasGhostStory P143477 FINISHED
Object Combermere Abbey library ghost photograph 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: Combermere Abbey library ghost photograph | Statement: [Combermere Abbey, hasGhostStory, Combermere Abbey library ghost photograph]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGhostStory
Context triple: [Combermere Abbey, hasGhostStory, Combermere Abbey library ghost photograph]
  • A. hasGhostCharacter
    Indicates that an entity includes, features, or is associated with a character that is a ghost.
  • B. hasGhostHouse
    Indicates that an entity possesses, contains, or is associated with a house believed to be haunted or inhabited by ghosts.
  • C. hasTraditionalStory chosen
    Indicates that one entity possesses, is associated with, or is the source or subject of a traditional story related to the other entity.
  • D. hasInfluentialStory
    Indicates that one entity possesses or is associated with a story that significantly shapes, impacts, or guides the beliefs, actions, or development of another entity.
  • E. hasNotableFable
    Indicates that an entity is associated with a well-known or significant fable, either as its subject, source, or key element.
  • 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_69efb5256afc8190b9322d25c3ae6320 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f644e1e0b48190b48f3e7b5d408dbd completed May 2, 2026, 6:39 p.m.
PD Predicate disambiguation batch_69f641e0fde08190bf06a1c5b388aa84 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 11:40 p.m.