Triple

T4669353
Position Surface form Disambiguated ID Type / Status
Subject Hantescire E102923 entity
Predicate modernEquivalentName P20950 FINISHED
Object Hampshire E16510 NE FINISHED

How this triple was built (3 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: Hampshire | Statement: [Hantescire, modernEquivalentName, Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampshire
Context triple: [Hantescire, modernEquivalentName, Hampshire]
  • A. Hampshire chosen
    Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
  • B. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • C. Sussex
    Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
  • D. 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.
  • E. Suffolk
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernEquivalentName
Context triple: [Hantescire, modernEquivalentName, Hampshire]
  • A. modernEquivalent
    Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
  • B. modernNameOfficial
    Indicates that an entity’s current, formally recognized name is the one specified.
  • C. hasModernName chosen
    Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
  • D. modernUse
    Indicates how something is currently used or applied in modern times.
  • E. hasModernNamesake
    Indicates that an entity is the namesake or inspiration for a modern entity that shares or derives its name from it.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd655aceb081908100ffc0498fe183 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fc5ae2c819085a18354feaa6150 completed March 22, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69bd6215864c8190b50ba0f63ba87d0c completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:15 p.m.