Triple

T10058013
Position Surface form Disambiguated ID Type / Status
Subject Château de Pierrefonds E208910 entity
Predicate hasRestorationApproach P91880 FINISHED
Object interpretive reconstruction 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: interpretive reconstruction | Statement: [Château de Pierrefonds, hasRestorationApproach, interpretive reconstruction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRestorationApproach
Context triple: [Château de Pierrefonds, hasRestorationApproach, interpretive reconstruction]
  • A. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • B. hasRestorationActivities
    Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
  • C. attemptedRestoration
    Indicates an action where an entity makes an effort to restore or return another entity to a previous or desired state, condition, or form, regardless of whether the restoration succeeds.
  • D. restorationBehavior
    Indicates actions or processes aimed at returning something to a previous, original, or improved state after damage, loss, or degradation.
  • E. hasReconstructionPlan
    Indicates that there exists a defined plan or strategy for rebuilding, restoring, or reconstructing a given entity or system.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
PD Predicate disambiguation batch_69cd4b92573481909389bc6148ae7ea8 completed April 1, 2026, 4:45 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:57 p.m.