Triple

T2351365
Position Surface form Disambiguated ID Type / Status
Subject Fighting with My Family E47454 entity
Predicate setting P1957 FINISHED
Object Norwich E41722 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: Norwich | Statement: [Fighting with My Family, setting, Norwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwich
Context triple: [Fighting with My Family, setting, Norwich]
  • A. Norwich chosen
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
  • B. Lowestoft
    Lowestoft is a coastal town in Suffolk, England, known as the easternmost settlement in the United Kingdom and a traditional fishing and seaside resort.
  • C. King's Lynn
    King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
  • D. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • E. Northampton
    Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf2c245c8190a426cfcdc929efeb completed March 10, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:54 p.m.