Triple

T27439058
Position Surface form Disambiguated ID Type / Status
Subject Eccleston Street E690872 entity
Predicate partOf P40 FINISHED
Object Belgravia street network
The Belgravia street network is an interconnected system of elegant residential and commercial streets in the affluent Belgravia district of central London, known for its grand terraces, garden squares, and upscale character.
E1773562 NE FINISHED

How this triple was built (2 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: Belgravia street network | Statement: [Eccleston Street, partOf, Belgravia street network]
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: Belgravia street network
Triple: [Eccleston Street, partOf, Belgravia street network]
Generated description
The Belgravia street network is an interconnected system of elegant residential and commercial streets in the affluent Belgravia district of central London, known for its grand terraces, garden squares, and upscale character.

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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d8c1af8819097dd3c1bf6704ddd completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b2549afc8190b87a5816afcd4b21 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b4a525b88190bb16afa9a4ff84c7 completed May 24, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a12b545d37881909ea7fd3c96e8272b completed May 24, 2026, 8:22 a.m.
Created at: April 27, 2026, 12:44 p.m.