Triple

T5171991
Position Surface form Disambiguated ID Type / Status
Subject Cranston E116704 entity
Predicate hasNeighborhood P40 FINISHED
Object Meshanticut
Meshanticut is a residential neighborhood in Cranston, Rhode Island, known for its suburban character and proximity to Meshanticut State Park and Meshanticut Lake.
 E499870 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: Meshanticut | Statement: [Cranston, hasNeighborhood, Meshanticut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meshanticut
Context triple: [Cranston, hasNeighborhood, Meshanticut]
  • A. Gaillard Cut
    Gaillard Cut is a historically significant, narrow, excavated channel through the Continental Divide in Panama that forms a key segment of the Panama Canal.
  • B. Tok Cut-Off
    Tok Cut-Off is a major Alaska highway spur that branches from the Richardson Highway to connect travelers toward Tok and the Alaska Highway.
  • C. CUT
    CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
  • D. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • E. Entroncamento
    Entroncamento is a Portuguese railway junction city in the Centro Region, known for its strategic location on the country’s main rail lines.
  • 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: Meshanticut
Triple: [Cranston, hasNeighborhood, Meshanticut]
Generated description
Meshanticut is a residential neighborhood in Cranston, Rhode Island, known for its suburban character and proximity to Meshanticut State Park and Meshanticut Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meshanticut
Target entity description: Meshanticut is a residential neighborhood in Cranston, Rhode Island, known for its suburban character and proximity to Meshanticut State Park and Meshanticut Lake.
  • A. Gaillard Cut
    Gaillard Cut is a historically significant, narrow, excavated channel through the Continental Divide in Panama that forms a key segment of the Panama Canal.
  • B. Tok Cut-Off
    Tok Cut-Off is a major Alaska highway spur that branches from the Richardson Highway to connect travelers toward Tok and the Alaska Highway.
  • C. CUT
    CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
  • D. CUT
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • E. Entroncamento
    Entroncamento is a Portuguese railway junction city in the Centro Region, known for its strategic location on the country’s main rail lines.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd795252a481908634779f3f656574 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9439ec881909021973aa5395e4f completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda6e82888190b54b814a16582e48 completed March 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_69bedaf860b0819086805fc9630a74d0 completed March 21, 2026, 5:52 p.m.
Created at: March 20, 2026, 1:45 p.m.