Triple

T13112307
Position Surface form Disambiguated ID Type / Status
Subject West Warwick, Rhode Island E311001 entity
Predicate hasNeighborhood P40 FINISHED
Object Lippitt
Lippitt is a residential neighborhood within the town of West Warwick in Rhode Island.
E1021531 NE FINISHED

How this triple was built (4 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: Lippitt | Statement: [West Warwick, Rhode Island, hasNeighborhood, Lippitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lippitt
Context triple: [West Warwick, Rhode Island, hasNeighborhood, Lippitt]
  • A. Lipsett
    Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
  • B. Mowrer
    Mowrer is a surname most notably associated with American journalist and Pulitzer Prize winner Paul Mowrer.
  • C. Rivlin
    Rivlin is a Hebrew surname most prominently associated with Reuven Rivlin, the former President of Israel.
  • D. Talcott
    Talcott is a given name most notably associated with American sociologist Talcott Parsons, a key figure in 20th-century social theory.
  • E. Buckley Ware
    Buckley Ware is a charming yet dangerous character in "The Flight Attendant," known for his complicated romantic involvement with Cassie Bowden and his hidden, violent tendencies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lippitt
Triple: [West Warwick, Rhode Island, hasNeighborhood, Lippitt]
Generated description
Lippitt is a residential neighborhood within the town of West Warwick in Rhode Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lippitt
Target entity description: Lippitt is a residential neighborhood within the town of West Warwick in Rhode Island.
  • A. Lipsett
    Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
  • B. Mowrer
    Mowrer is a surname most notably associated with American journalist and Pulitzer Prize winner Paul Mowrer.
  • C. Rivlin
    Rivlin is a Hebrew surname most prominently associated with Reuven Rivlin, the former President of Israel.
  • D. Talcott
    Talcott is a given name most notably associated with American sociologist Talcott Parsons, a key figure in 20th-century social theory.
  • E. Buckley Ware
    Buckley Ware is a charming yet dangerous character in "The Flight Attendant," known for his complicated romantic involvement with Cassie Bowden and his hidden, violent tendencies.
  • F. None of above. chosen

Provenance (5 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e32bf5508190b4dc58971f8f64d0 completed May 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 9:05 p.m.