Triple

T33952531
Position Surface form Disambiguated ID Type / Status
Subject Doncaster Mansion House E870476 entity
Predicate locationOnStreet P17242 FINISHED
Object High Street, Doncaster
High Street, Doncaster is a principal thoroughfare in the South Yorkshire town’s centre, known for its historic architecture and civic landmarks.
 E2075205 NE FINISHED

How this triple was built (3 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: High Street, Doncaster | Statement: [Doncaster Mansion House, locationOnStreet, High Street, Doncaster]
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: High Street, Doncaster
Triple: [Doncaster Mansion House, locationOnStreet, High Street, Doncaster]
Generated description
High Street, Doncaster is a principal thoroughfare in the South Yorkshire town’s centre, known for its historic architecture and civic landmarks.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locationOnStreet
Context triple: [Doncaster Mansion House, locationOnStreet, High Street, Doncaster]
  • A. streetLocation chosen
    Indicates that one entity is located on, along, or at a specific street associated with the other entity.
  • B. streetOrArea
    Indicates that one entity is a street or area associated with, located at, or relevant to the other entity.
  • C. locatedBetweenStreets
    Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
  • D. locationOnSquare
    Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
  • E. locationAddressed
    Indicates that a communication, message, or action is specifically directed to or intended for a particular location or address.
  • F. None of above.

Provenance (6 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_69f3499c2d7481909c953a5010227725 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3689dfc1e8819092a9039c82c4692b completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a9e3d188190890e19e635d9cf9c completed June 20, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_6a368b58c7848190b708ded1bbc44b60 completed June 20, 2026, 12:45 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:49 a.m.