Triple

T15424482
Position Surface form Disambiguated ID Type / Status
Subject Moor Street E369470 entity
Predicate connectsTo P845 FINISHED
Object Park Street
Park Street is a road or street that forms part of the local thoroughfare network connected to Moor Street.
 E848345 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: Park Street | Statement: [Moor Street, connectsTo, Park Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Park Street
Context triple: [Moor Street, connectsTo, Park Street]
  • A. Park Street
    Park Street is a major downtown Boston subway station and transfer hub on the Massachusetts Bay Transportation Authority (MBTA) system.
  • B. Park Street
    Park Street is a small village and residential community in Hertfordshire, England, situated near St Albans.
  • C. Park Street
    Park Street is one of the busiest and most prominent stations on the Kolkata Metro, serving the central commercial and entertainment district of the city.
  • D. Park Street
    Park Street is a street located in the historic city centre of Cambridge, England, known for its proximity to university colleges and central amenities.
  • E. Pratt Street
    Pratt Street is a major east–west thoroughfare in downtown Baltimore, Maryland, known for running through the city’s central business and Inner Harbor areas.
  • 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: Park Street
Triple: [Moor Street, connectsTo, Park Street]
Generated description
Park Street is a road or street that forms part of the local thoroughfare network connected to Moor Street.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Park Street
Target entity description: Park Street is a road or street that forms part of the local thoroughfare network connected to Moor Street.
  • A. Park Street
    Park Street is a major downtown Boston subway station and transfer hub on the Massachusetts Bay Transportation Authority (MBTA) system.
  • B. Park Street
    Park Street is a small village and residential community in Hertfordshire, England, situated near St Albans.
  • C. Park Street
    Park Street is one of the busiest and most prominent stations on the Kolkata Metro, serving the central commercial and entertainment district of the city.
  • D. Park Street chosen
    Park Street is a street located in the historic city centre of Cambridge, England, known for its proximity to university colleges and central amenities.
  • E. Pratt Street
    Pratt Street is a major east–west thoroughfare in downtown Baltimore, Maryland, known for running through the city’s central business and Inner Harbor areas.
  • F. None of above.

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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997e52054819097d655afc80e0f25 completed May 17, 2026, 10:26 a.m.
NEDg Description generation batch_6a09985dda0c81908af1da35cf21a49a completed May 17, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0998daab50819084301af9f93bc9dc completed May 17, 2026, 10:30 a.m.
Created at: April 10, 2026, 3:20 a.m.