Triple

T10638800
Position Surface form Disambiguated ID Type / Status
Subject Blackfen E250662 entity
Predicate hasRoad P959 FINISHED
Object A210
A210 is a classified road in the United Kingdom that serves the Blackfen area and connects it to surrounding parts of southeast London.
 E876488 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: A210 | Statement: [Blackfen, hasRoad, A210]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A210
Context triple: [Blackfen, hasRoad, A210]
  • A. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • B. A21
    A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
  • C. 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.
  • D. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • E. A204
    The A204 is a key urban road in London that serves as one of the main routes running through the Brixton area.
  • 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: A210
Triple: [Blackfen, hasRoad, A210]
Generated description
A210 is a classified road in the United Kingdom that serves the Blackfen area and connects it to surrounding parts of southeast London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A210
Target entity description: A210 is a classified road in the United Kingdom that serves the Blackfen area and connects it to surrounding parts of southeast London.
  • A. A2100
    A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
  • B. A21
    A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
  • C. 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.
  • D. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • E. A204
    The A204 is a key urban road in London that serves as one of the main routes running through the Brixton area.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bcd8c0c8190a0fad6a85b5604bb completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:04 p.m.