Triple

T11493186
Position Surface form Disambiguated ID Type / Status
Subject Bulphan E272466 entity
Predicate isPartOf P10 FINISHED
Object Essex historic county E678093 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: Essex historic county | Statement: [Bulphan, isPartOf, Essex historic county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essex historic county
Context triple: [Bulphan, isPartOf, Essex historic county]
  • A. historic county of Essex chosen
    The historic county of Essex is a traditional county in southeast England with ancient origins, encompassing areas east of London and known for its mix of rural landscapes, historic towns, and early Saxon and Roman heritage.
  • B. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • C. Suffolk
    Suffolk is an independent city in southeastern Virginia known for its large land area, historic downtown, and role as part of the Hampton Roads region.
  • D. Suffolk
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
  • E. Middlesex and Hertfordshire
    Middlesex and Hertfordshire are historic counties in southern England that once formed adjacent administrative regions on the outskirts of London.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85ddffdf88190a00e94ad5b8b91a5 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6047d95548190b445aa3b4f1e71cc completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.