Triple

T13828414
Position Surface form Disambiguated ID Type / Status
Subject Old Street E332314 entity
Predicate postalDistrict P920 FINISHED
Object N1
N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
 E1064530 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: N1 | Statement: [Old Street, postalDistrict, N1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N1
Context triple: [Old Street, postalDistrict, N1]
  • A. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • B. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. N2
    N2 is a major national highway designated as National Route N2 in its country’s road network.
  • E. N3
    N3 is a Dutch regional road that serves as a key connector route in the South Holland region of the Netherlands.
  • 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: N1
Triple: [Old Street, postalDistrict, N1]
Generated description
N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N1
Target entity description: N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
  • A. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • B. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • C. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • D. N2
    N2 is a major national highway designated as National Route N2 in its country’s road network.
  • E. N3
    N3 is a Dutch regional road that serves as a key connector route in the South Holland region of the Netherlands.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7ba6558fc819082dae55863a9a3b1 completed May 3, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69f7bb15d31c81909959e50219c4d905 completed May 3, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:13 p.m.