Triple

T28649348
Position Surface form Disambiguated ID Type / Status
Subject Walthamstow Stadium E725147 entity
Predicate locatedOnStreet P959 FINISHED
Object Chingford Road
Chingford Road is a main thoroughfare in the Walthamstow area of northeast London, known for serving as a key local route and address for notable sites such as the former Walthamstow Stadium.
E2292314 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: Chingford Road | Statement: [Walthamstow Stadium, locatedOnStreet, Chingford Road]
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: Chingford Road
Triple: [Walthamstow Stadium, locatedOnStreet, Chingford Road]
Generated description
Chingford Road is a main thoroughfare in the Walthamstow area of northeast London, known for serving as a key local route and address for notable sites such as the former Walthamstow Stadium.

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_6a5ce1e8b2108190a2a99c7cc70574a4 completed July 19, 2026, 2:40 p.m.
NEDg Description generation batch_6a5ce25889f481908f1979171e042a08 completed July 19, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a5ce2c2b5888190afcb06cc4530f7e3 completed July 19, 2026, 2:44 p.m.
Created at: April 28, 2026, 4:51 a.m.