Triple

T12628640
Position Surface form Disambiguated ID Type / Status
Subject Writtle, Essex, Kingdom of England E301581 entity
Predicate hasLandholdingType P33508 FINISHED
Object demesne land 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: demesne land | Statement: [Writtle, Essex, Kingdom of England, hasLandholdingType, demesne land]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandholdingType
Context triple: [Writtle, Essex, Kingdom of England, hasLandholdingType, demesne land]
  • A. hasLandStatus
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • B. hasLandOwnershipMix
    Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
  • C. hasLandAllotmentDescribedIn
    Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
  • D. hasAgriculturalCharacter
    Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
  • E. hasEstateType chosen
    Indicates that an entity possesses or is associated with a particular category or type of estate.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69d960b195108190ac25bd95e644ace4 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:15 p.m.