Triple

T25431712

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hackbridge	`E637274`	entity
Predicate	administrativeBoroughHeadquarters	`P15649`	FINISHED
Object	Sutton Sutton is a suburban district and principal town in the London Borough of Sutton, known for its residential character, shopping facilities, and role as the borough’s administrative and commercial center.	`E141441`	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: Sutton | Statement: [Hackbridge, administrativeBoroughHeadquarters, Sutton]

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: Sutton
Triple: [Hackbridge, administrativeBoroughHeadquarters, Sutton]

Generated description

Sutton is a suburban district and principal town in the London Borough of Sutton, known for its residential character, shopping facilities, and role as the borough’s administrative and commercial center.

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

Target predicate: administrativeBoroughHeadquarters
Context triple: [Hackbridge, administrativeBoroughHeadquarters, Sutton]

A. governingBoroughSeat
Indicates that one entity serves as the administrative seat or central governing location for a particular borough.
B. countryCapitalBorough
Indicates that a given borough is the capital borough (primary administrative district) of a specified country.
C. isBoroughSeatOf chosen
Indicates that a place serves as the administrative center or seat of government for a specific borough.
D. headquartersMunicipality
Indicates the municipality in which an organization’s main administrative headquarters is located.
E. districtHeadquartersSince
Indicates the time from which a particular location has served as the administrative headquarters of a specified district.
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_69e75db58a1c8190891b9ff7c2f8414e`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f65f7731e4819099d5bd3d915ee266`	completed	May 2, 2026, 8:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1089a078b481909cc696e9bc8c4639`	completed	May 22, 2026, 4:51 p.m.
NEDg	Description generation	`batch_6a108a66ebfc8190843d591e9ab47493`	completed	May 22, 2026, 4:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a108b245e20819097efa96e0a3d866d`	completed	May 22, 2026, 4:58 p.m.
PD	Predicate disambiguation	`batch_69f65c1f94ac8190bc6fbc7916fc0d82`	completed	May 2, 2026, 8:18 p.m.

Created at: April 21, 2026, 1:58 p.m.