Triple

T35626479

Position	Surface form	Disambiguated ID	Type / Status
Subject	Regent Street Quadrant reconstruction (London)	`E1029469`	entity
Predicate	streetSection	`P5397`	FINISHED
Object	Regent Street Quadrant Regent Street Quadrant is the distinctive curved section of Regent Street in London, noted for its grand early 19th-century architecture and role as a key West End shopping and landmark area.	`E2149816`	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: Regent Street Quadrant | Statement: [Regent Street Quadrant reconstruction (London), streetSection, Regent Street Quadrant]

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: Regent Street Quadrant
Triple: [Regent Street Quadrant reconstruction (London), streetSection, Regent Street Quadrant]

Generated description

Regent Street Quadrant is the distinctive curved section of Regent Street in London, noted for its grand early 19th-century architecture and role as a key West End shopping and landmark area.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: streetSection
Context triple: [Regent Street Quadrant reconstruction (London), streetSection, Regent Street Quadrant]

A. streetSectionOf chosen
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
B. streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
C. streetOrArea
Indicates that one entity is a street or area associated with, located at, or relevant to the other entity.
D. streetOrientedAlong
Indicates that a street is aligned or runs in the same general direction as a specified reference feature or axis.
E. urbanSegmentName
Indicates the specific name assigned to a segment within an urban area or city layout.
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_69f76e07bb0c8190968ea2d836fc42c9`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7a34f8ee08190a040304635539a8f`	completed	May 3, 2026, 7:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38684ad5a081909b5550c809297a1a`	completed	June 21, 2026, 10:40 p.m.
NEDg	Description generation	`batch_6a38694064788190a60dcb80c9c8033a`	completed	June 21, 2026, 10:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3869d593388190a015a87a400f2205`	completed	June 21, 2026, 10:46 p.m.
PD	Predicate disambiguation	`batch_69f7a06f125c8190843af194f042a465`	completed	May 3, 2026, 7:22 p.m.

Created at: May 3, 2026, 4:05 p.m.