Triple

T4083775
Position Surface form Disambiguated ID Type / Status
Subject Salisbury E87538 entity
Predicate hasLandmark P105 FINISHED
Object Queen Street
Queen Street is a notable thoroughfare in Salisbury, England, known for its central location and mix of historic and commercial buildings.
E425662 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: Queen Street | Statement: [Salisbury, hasLandmark, Queen Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Street
Context triple: [Salisbury, hasLandmark, Queen Street]
  • A. Queen Street
    Queen Street is the main commercial and retail thoroughfare in central Auckland, New Zealand, known for its shops, offices, and entertainment venues.
  • B. Queen Street
    Queen Street is a major commercial thoroughfare in central Cardiff, Wales, known for its busy shopping area and pedestrianized zone.
  • C. Queen Street
    Queen Street is a major east–west thoroughfare in Toronto, Ontario, known for its diverse neighborhoods, shopping, and cultural attractions.
  • D. Queen Street
    Queen Street is a central London road in the City of London that connects key financial and commercial areas near the River Thames.
  • E. Queen Street
    Queen Street is a notable thoroughfare running through downtown Honolulu, Hawaii, lined with commercial buildings and serving as part of the city’s central business district street grid.
  • 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: Queen Street
Triple: [Salisbury, hasLandmark, Queen Street]
Generated description
Queen Street is a notable thoroughfare in Salisbury, England, known for its central location and mix of historic and commercial buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Queen Street
Target entity description: Queen Street is a notable thoroughfare in Salisbury, England, known for its central location and mix of historic and commercial buildings.
  • A. Queen Street
    Queen Street is a central shopping and pedestrian thoroughfare in Oxford, England, linking the city’s main commercial and historic areas.
  • B. Queen Street
    Queen Street is a major commercial thoroughfare in central Cardiff, Wales, known for its busy shopping area and pedestrianized zone.
  • C. Queen Street
    Queen Street is a central London road in the City of London that connects key financial and commercial areas near the River Thames.
  • D. Queen Street
    Queen Street is a major east–west thoroughfare in Toronto, Ontario, known for its diverse neighborhoods, shopping, and cultural attractions.
  • E. Queen Street
    Queen Street is a notable thoroughfare running through downtown Honolulu, Hawaii, lined with commercial buildings and serving as part of the city’s central business district street grid.
  • 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_69b5b757a4c48190bf72c6852b00777f completed March 14, 2026, 7:30 p.m.
NEDg Description generation batch_69b5b85f31d481908f85ea08b9af5b52 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8d0fc1c8190908724ea4f7c3d17 completed March 14, 2026, 7:36 p.m.
Created at: March 9, 2026, 3:39 p.m.