Triple

T35024378
Position Surface form Disambiguated ID Type / Status
Subject Harleyford Road E1010288 entity
Predicate hasJunctionWith P1018 FINISHED
Object Harleyford Street
Harleyford Street is a road in the Vauxhall area of London, England, situated near the River Thames and close to major transport links and landmarks such as The Oval cricket ground.
 E2292703 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: Harleyford Street | Statement: [Harleyford Road, hasJunctionWith, Harleyford Street]
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: Harleyford Street
Triple: [Harleyford Road, hasJunctionWith, Harleyford Street]
Generated description
Harleyford Street is a road in the Vauxhall area of London, England, situated near the River Thames and close to major transport links and landmarks such as The Oval cricket ground.

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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7853f173c8190a48b0a175148a3ee completed May 3, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a79c7713c28819090c3f0fcca013ebf completed Aug. 10, 2026, 12:43 p.m.
NEDg Description generation batch_6a79c7d1afe881909fada4478527a6d0 completed Aug. 10, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a79c8e29144819086243851597d23ee completed Aug. 10, 2026, 12:49 p.m.
Created at: May 3, 2026, 4:01 p.m.