Triple

T17691734
Position Surface form Disambiguated ID Type / Status
Subject River Exe E441042 entity
Predicate influencesSettlement P128596 FINISHED
Object Exeter NE NERFINISHED

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: Exeter | Statement: [River Exe, influencesSettlement, Exeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exeter
Context triple: [River Exe, influencesSettlement, Exeter]
  • A. Exeter chosen
    Exeter is a historic cathedral city in Devon, England, known for its medieval architecture and role as a regional administrative and cultural center.
  • B. Exeter
    Exeter is a historic town in Rockingham County, New Hampshire, known for its colonial heritage and as the home of the prestigious Phillips Exeter Academy.
  • C. Exeter
    Exeter is a small borough in Luzerne County, Pennsylvania, situated in the Wyoming Valley near the Susquehanna River.
  • D. Exeter
    Exeter is a small town located in Otsego County in central New York State, known for its rural character and agricultural landscape.
  • E. Exeter
    Exeter is a small village in the Southern Highlands of New South Wales, Australia, known for its rural charm, cool climate, and English-style gardens and architecture.
  • 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: influencesSettlement
Context triple: [River Exe, influencesSettlement, Exeter]
  • A. inspiredSettlement
    Indicates that one entity’s ideas, actions, or example motivated or influenced the creation, development, or characteristics of a particular settlement.
  • B. influencesRegion
    Indicates that one entity has an effect on, shapes, or alters the conditions, characteristics, or behavior of a specified region.
  • C. influencesCommunity
    Indicates that one entity has an effect on the behavior, attitudes, or conditions of a community.
  • D. placeOfInfluence
    Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
  • E. cityOfInfluence
    Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
  • F. None of above. chosen

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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47152306c819086d483d87348db5d completed April 19, 2026, 6:08 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
PDg Predicate description generation batch_69e3cfaac2b881909e1140339eb1a0dd completed April 18, 2026, 6:38 p.m.
Created at: April 10, 2026, 10:03 a.m.