Triple

T28649302
Position Surface form Disambiguated ID Type / Status
Subject Walthamstow Market E725146 entity
Predicate street P959 FINISHED
Object High Street, Walthamstow
High Street, Walthamstow is a major thoroughfare in the London district of Walthamstow, best known as the site of one of Europe’s longest outdoor street markets and a busy local shopping area.
 E1827851 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: High Street, Walthamstow | Statement: [Walthamstow Market, street, High Street, Walthamstow]
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, Walthamstow
Triple: [Walthamstow Market, street, High Street, Walthamstow]
Generated description
High Street, Walthamstow is a major thoroughfare in the London district of Walthamstow, best known as the site of one of Europe’s longest outdoor street markets and a busy local shopping area.

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_69f01d8423888190bd2f4e52605bf261 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652e388a08190ad4891225380f5db completed May 2, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc38939d48190a8b1d93561e7e243 completed May 31, 2026, 11:26 p.m.
NEDg Description generation batch_6a1cc463bda48190bec84f370b367cff completed May 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4ff58dc8190a81f7ad27e6b6fa8 completed May 31, 2026, 11:32 p.m.
Created at: April 28, 2026, 4:50 a.m.