Triple

T29773359
Position Surface form Disambiguated ID Type / Status
Subject Gentleman’s Walk E755308 entity
Predicate partOf P40 FINISHED
Object Norwich city centre retail area
Norwich city centre retail area is the main commercial heart of Norwich, featuring a concentration of shops, pedestrian streets, and historic marketplaces that serve as the city’s primary shopping and leisure district.
E1884239 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: Norwich city centre retail area | Statement: [Gentleman’s Walk, partOf, Norwich city centre retail area]
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: Norwich city centre retail area
Triple: [Gentleman’s Walk, partOf, Norwich city centre retail area]
Generated description
Norwich city centre retail area is the main commercial heart of Norwich, featuring a concentration of shops, pedestrian streets, and historic marketplaces that serve as the city’s primary shopping and leisure district.

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_69f0ef878574819088c867fd1a5c8b86 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f67463b0d48190ba31b4c1d78da062 completed May 2, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8f944988190873323b6f3bf4bd8 completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26d4071fa48190959ef43dc28e85ea completed June 8, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_6a26d8965d448190b456476744394fc9 completed June 8, 2026, 2:58 p.m.
Created at: April 28, 2026, 8:44 p.m.