Triple

T30545392
Position Surface form Disambiguated ID Type / Status
Subject Noormarkku E777398 entity
Predicate hasManorArea P200806 FINISHED
Object Noormarkku Works manor area NE NERFINISHED

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: Noormarkku Works manor area | Statement: [Noormarkku, hasManorArea, Noormarkku Works manor area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasManorArea
Context triple: [Noormarkku, hasManorArea, Noormarkku Works manor area]
  • A. hasManorHouse
    Indicates that one entity possesses or is associated with a manor house as a property or feature.
  • B. hasResidentialArea
    Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
  • C. hasManagementArea
    Indicates that one entity is responsible for managing, overseeing, or administering a specified area or region.
  • D. hasFamilyArea
    Indicates a relationship where an entity possesses or includes a designated area intended for family use or family-related activities.
  • E. hasCadastralArea
    Indicates that an entity possesses or is associated with a specific cadastral (official land registry) area measurement.
  • 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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69ffada24d188190a576a02dc280a7fb completed May 9, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69ffad46d6ac819081772f408b1389d5 completed May 9, 2026, 9:55 p.m.
PDg Predicate description generation batch_69ffada149748190916bfd9b87356342 completed May 9, 2026, 9:56 p.m.
Created at: April 29, 2026, 8:19 p.m.