Triple

T3700471
Position Surface form Disambiguated ID Type / Status
Subject Naylor Road station E78564 entity
Predicate namedAfter P63 FINISHED
Object Naylor Road
Naylor Road is a street in the Washington, D.C. area that lends its name to the nearby Naylor Road Metro station on the Green Line.
E526423 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: Naylor Road | Statement: [Naylor Road station, namedAfter, Naylor Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naylor Road
Context triple: [Naylor Road station, namedAfter, Naylor Road]
  • A. Milner Road
    Milner Road is a residential street located in the historic Whitley Heights neighborhood of Hollywood, Los Angeles.
  • B. Parks Road
    Parks Road is a major street in central Oxford, England, running through the university area and lined with prominent academic buildings and museums.
  • C. Nipton Road
    Nipton Road is a rural highway in the Mojave Desert that serves as the primary access route to the small community of Nipton, California.
  • D. Brownley Road
    Brownley Road is a street in the Wythenshawe area of Manchester, England, served by the Crossacres tram stop on the Manchester Metrolink network.
  • E. Barton Road
    Barton Road is a main thoroughfare in Cambridge, England, known for connecting the city centre with the western outskirts and hosting institutions such as Wolfson College.
  • 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: Naylor Road
Triple: [Naylor Road station, namedAfter, Naylor Road]
Generated description
Naylor Road is a street in the Washington, D.C. area that lends its name to the nearby Naylor Road Metro station on the Green Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naylor Road
Target entity description: Naylor Road is a street in the Washington, D.C. area that lends its name to the nearby Naylor Road Metro station on the Green Line.
  • A. Milner Road
    Milner Road is a residential street located in the historic Whitley Heights neighborhood of Hollywood, Los Angeles.
  • B. Parks Road
    Parks Road is a major street in central Oxford, England, running through the university area and lined with prominent academic buildings and museums.
  • C. Nipton Road
    Nipton Road is a rural highway in the Mojave Desert that serves as the primary access route to the small community of Nipton, California.
  • D. Brownley Road
    Brownley Road is a street in the Wythenshawe area of Manchester, England, served by the Crossacres tram stop on the Manchester Metrolink network.
  • E. Barton Road
    Barton Road is a main thoroughfare in Cambridge, England, known for connecting the city centre with the western outskirts and hosting institutions such as Wolfson College.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc514eb6c8190b3b74a603c717729 completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfbd56f4c081909ebc19bfc91aa5d2 completed March 22, 2026, 9:58 a.m.
NEDg Description generation batch_69bfbdcab6d88190aa24838b20743e6e completed March 22, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69bfbe735874819083abb628f3d169b9 completed March 22, 2026, 10:03 a.m.
Created at: March 8, 2026, 3:26 p.m.