Triple

T2549792
Position Surface form Disambiguated ID Type / Status
Subject Liddesdale E56594 entity
Predicate historicalLegalStatus P11889 FINISHED
Object march lordship 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: march lordship | Statement: [Liddesdale, historicalLegalStatus, march lordship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLegalStatus
Context triple: [Liddesdale, historicalLegalStatus, march lordship]
  • A. historicalStatusOf
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • B. historicalLaw
    Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
  • C. legalHistory
    Indicates that there exists a record of past legal actions, cases, or statuses associated with an entity.
  • D. historicalJurisdiction chosen
    Indicates that one entity previously held legal or administrative authority over another entity during a past time period.
  • E. historicalRecordStatus
    Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.