Triple

T3316979
Position Surface form Disambiguated ID Type / Status
Subject Blackfriars E69704 entity
Predicate roadNetwork P385 FINISHED
Object A201
The A201 is a key urban A-road in central London that connects areas such as Blackfriars with other parts of the city’s inner road network.
E346672 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: A201 | Statement: [Blackfriars, roadNetwork, A201]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A201
Context triple: [Blackfriars, roadNetwork, A201]
  • A. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • B. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • C. A21
    A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
  • D. A130
    The A130 is a major road in Essex, England, linking towns such as Basildon with other key routes in the regional highway network.
  • E. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • 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: A201
Triple: [Blackfriars, roadNetwork, A201]
Generated description
The A201 is a key urban A-road in central London that connects areas such as Blackfriars with other parts of the city’s inner road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A201
Target entity description: The A201 is a key urban A-road in central London that connects areas such as Blackfriars with other parts of the city’s inner road network.
  • A. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • B. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • C. A21
    A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
  • D. A130
    The A130 is a major road in Essex, England, linking towns such as Basildon with other key routes in the regional highway network.
  • E. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb11230b881908f5b554323729cc5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fd5440819092f6847e56c05ff8 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b300abcbf88190bf05da60d8fb430b completed March 12, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69b3132087888190af901e2551ef777c completed March 12, 2026, 7:25 p.m.
Created at: March 8, 2026, 3:11 p.m.