Triple

T4083763
Position Surface form Disambiguated ID Type / Status
Subject Salisbury E87538 entity
Predicate hasLandmark P105 FINISHED
Object Milford
Milford is a locality associated with the city of Salisbury, likely recognized as one of its notable places or features.
 E411665 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: Milford | Statement: [Salisbury, hasLandmark, Milford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milford
Context triple: [Salisbury, hasLandmark, Milford]
  • A. Milford
    Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
  • B. Milford
    Milford is a village in Surrey, England, situated near the town of Godalming.
  • C. Milford
    Milford is a town in central Massachusetts known for its historic granite quarries and suburban residential character.
  • D. Milford
    Milford is a New Hampshire town in Hillsborough County known historically for its mill industry and its location along the Souhegan River.
  • E. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • 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: Milford
Triple: [Salisbury, hasLandmark, Milford]
Generated description
Milford is a locality associated with the city of Salisbury, likely recognized as one of its notable places or features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milford
Target entity description: Milford is a locality associated with the city of Salisbury, likely recognized as one of its notable places or features.
  • A. Milford
    Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
  • B. Milford
    Milford is a village in Surrey, England, situated near the town of Godalming.
  • C. Milford
    Milford is a town in central Massachusetts known for its historic granite quarries and suburban residential character.
  • D. Milford
    Milford is a New Hampshire town in Hillsborough County known historically for its mill industry and its location along the Souhegan River.
  • E. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c6456081908cca823ebb13936a completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b5cc108190bb9684abafa608af completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5646606f08190930451ac372154cd completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:39 p.m.