Triple

T18578218
Position Surface form Disambiguated ID Type / Status
Subject Town of Stonington, Connecticut E454039 entity
Predicate hasVillage P4011 FINISHED
Object Lords Point, Connecticut 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: Lords Point, Connecticut | Statement: [Town of Stonington, Connecticut, hasVillage, Lords Point, Connecticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lords Point, Connecticut
Context triple: [Town of Stonington, Connecticut, hasVillage, Lords Point, Connecticut]
  • A. Mount Hope, Connecticut
    Mount Hope, Connecticut is a small village within the town of Mansfield in Tolland County, known for its rural character in northeastern Connecticut.
  • B. Pomfret, Connecticut
    Pomfret, Connecticut is a small historic town in northeastern Connecticut known for its rural character, early colonial heritage, and association with Revolutionary War general Israel Putnam.
  • C. Black Rock, Connecticut
    Black Rock, Connecticut is a coastal neighborhood in Bridgeport known historically as a maritime and shipbuilding community.
  • D. Darien, Connecticut
    Darien, Connecticut is an affluent coastal town in southwestern Connecticut known for its high quality of life, strong public schools, and role as a commuter suburb of New York City.
  • E. Noank, Connecticut
    Noank, Connecticut is a historic seaside village and former shipbuilding center located on the coast of Long Island Sound within the town of Groton.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lords Point, Connecticut
Target entity description: Lords Point, Connecticut is a small coastal village and summer community within the town of Stonington, known for its shoreline cottages and access to Long Island Sound.
  • A. Mount Hope, Connecticut
    Mount Hope, Connecticut is a small village within the town of Mansfield in Tolland County, known for its rural character in northeastern Connecticut.
  • B. Pomfret, Connecticut
    Pomfret, Connecticut is a small historic town in northeastern Connecticut known for its rural character, early colonial heritage, and association with Revolutionary War general Israel Putnam.
  • C. Black Rock, Connecticut
    Black Rock, Connecticut is a coastal neighborhood in Bridgeport known historically as a maritime and shipbuilding community.
  • D. Darien, Connecticut
    Darien, Connecticut is an affluent coastal town in southwestern Connecticut known for its high quality of life, strong public schools, and role as a commuter suburb of New York City.
  • E. Noank, Connecticut
    Noank, Connecticut is a historic seaside village and former shipbuilding center located on the coast of Long Island Sound within the town of Groton.
  • F. None of above. chosen

Provenance (2 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543cd6a3c8190b38059e71ec3f7b2 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.