Triple

T27238981
Position Surface form Disambiguated ID Type / Status
Subject Sebergham E687148 entity
Predicate shireCountyHistoric P4770 FINISHED
Object Cumberland E1634443 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: Cumberland | Statement: [Sebergham, shireCountyHistoric, Cumberland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shireCountyHistoric
Context triple: [Sebergham, shireCountyHistoric, Cumberland]
  • A. coversHistoricCounty
    Indicates that one entity geographically encompasses the area of a historic county.
  • B. shireCounty chosen
    Indicates the county-level administrative area (shire county) within which a given place or entity is located or governed.
  • C. historicCountyPart
    Indicates that one entity forms a constituent part or subdivision of a historic county.
  • D. historicalCounty
    Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
  • E. historicParliamentaryCounty
    Indicates that an entity is (or was) located within, or associated with, a historic parliamentary county as defined for electoral or administrative purposes.
  • F. None of above.

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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6267c112c8190986426190320e1ac completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262773dac8190bb4113ab4e9b3f82 completed May 24, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 10:36 a.m.