Triple

T5085103
Position Surface form Disambiguated ID Type / Status
Subject Lord of Arundel E114616 entity
Predicate associatedWith P37 FINISHED
Object Arundel, Sussex E140085 NE 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: Arundel, Sussex | Statement: [Lord of Arundel, associatedWith, Arundel, Sussex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arundel, Sussex
Context triple: [Lord of Arundel, associatedWith, Arundel, Sussex]
  • A. Arundel chosen
    Arundel is a historic market town in southern England, renowned for its medieval castle and cathedral overlooking the River Arun.
  • B. Arundel Center
    Arundel Center is a government building in Anne Arundel County, Maryland, that serves as the central facility for county administration and public meetings.
  • C. Arundel Castle
    Arundel Castle is a historic medieval fortress and stately home in West Sussex, England, long associated with the Earls of Arundel and the powerful Howard family.
  • D. Laughton, Sussex
    Laughton, Sussex is a small rural village in East Sussex, England, historically associated with the Pelham family and traditional English country life.
  • E. Thorney
    Thorney is a village in Cambridgeshire, England, historically centered around its important medieval Benedictine abbey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75192d188190a7631bce5faf7de3 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba6f3eb48190b544bf743829cb0c completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.