Triple

T703806
Position Surface form Disambiguated ID Type / Status
Subject Albert Memorial Clock E14055 entity
Predicate restorationWork P13045 FINISHED
Object stabilisation of foundations 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: stabilisation of foundations | Statement: [Albert Memorial Clock, restorationWork, stabilisation of foundations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationWork
Context triple: [Albert Memorial Clock, restorationWork, stabilisation of foundations]
  • A. reconstructionOrRestorationDate
    Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
  • B. majorRestorationLocation
    Indicates the primary place where a significant restoration or refurbishment of an object, structure, or work was carried out.
  • C. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • D. hasRestoration chosen
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • E. hasRestorationActivities
    Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58d4c3c8190ad4527d14bca5e6e completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4edc33881909a978268f6dd5d82 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.