Triple

T16221887
Position Surface form Disambiguated ID Type / Status
Subject 12th (Suffolk) Regiment of Foot E393746 entity
Predicate garrisonCounty P20147 FINISHED
Object Suffolk E64456 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: Suffolk | Statement: [12th (Suffolk) Regiment of Foot, garrisonCounty, Suffolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffolk
Context triple: [12th (Suffolk) Regiment of Foot, garrisonCounty, Suffolk]
  • A. Suffolk chosen
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
  • B. 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.
  • C. Essex
    Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
  • D. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • E. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c46bd2081908d6d9fd1898ea5f7 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:03 a.m.