Triple

T4083774
Position Surface form Disambiguated ID Type / Status
Subject Salisbury E87538 entity
Predicate hasLandmark P105 FINISHED
Object Bridge Street
Bridge Street is a notable thoroughfare in Salisbury, England, known for its central location and historic urban character.
 E690031 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: Bridge Street | Statement: [Salisbury, hasLandmark, Bridge Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bridge Street
Context triple: [Salisbury, hasLandmark, Bridge Street]
  • A. Bridge Street
    Bridge Street is a central London thoroughfare in Westminster that connects Parliament Square to the River Thames and Westminster Bridge.
  • B. Warren Street
    Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
  • C. Warren Street
    Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
  • D. Warren Street
    Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
  • E. Morgan Street
    Morgan Street is a north–south thoroughfare in Chicago known for running through several neighborhoods, including the Bridgeport area on the city’s South Side.
  • 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: Bridge Street
Triple: [Salisbury, hasLandmark, Bridge Street]
Generated description
Bridge Street is a notable thoroughfare in Salisbury, England, known for its central location and historic urban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bridge Street
Target entity description: Bridge Street is a notable thoroughfare in Salisbury, England, known for its central location and historic urban character.
  • A. Bridge Street
    Bridge Street is a central London thoroughfare in Westminster that connects Parliament Square to the River Thames and Westminster Bridge.
  • B. Warren Street
    Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
  • C. Warren Street
    Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
  • D. Warren Street
    Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
  • E. Morgan Street
    Morgan Street is a north–south thoroughfare in Chicago known for running through several neighborhoods, including the Bridgeport area on the city’s South Side.
  • 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_69c91b0ad9188190ad74c33802f50783 completed March 29, 2026, 12:28 p.m.
NEDg Description generation batch_69c91c58f10081908e00d8e1f250ef65 completed March 29, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69c91ca5bc6c8190a8e4fe0955bb192e completed March 29, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:39 p.m.