Triple

T21385221
Position Surface form Disambiguated ID Type / Status
Subject Renshaw Street E527474 entity
Predicate near P350 FINISHED
Object Berry Street
Berry Street is a street in Liverpool, England, known for its central location near Renshaw Street and its mix of shops, bars, and restaurants.
 E1858900 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: Berry Street | Statement: [Renshaw Street, near, Berry 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: Berry Street
Triple: [Renshaw Street, near, Berry Street]
Generated description
Berry Street is a street in Liverpool, England, known for its central location near Renshaw Street and its mix of shops, bars, and restaurants.

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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62c9494081909efa74e189454dc6 completed April 26, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2588efb8848190af8e46d0ca7746a2 completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a258d5c870881909c75fab5ef8093bd completed June 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2591728844819099129a16cb37bd69 completed June 7, 2026, 3:42 p.m.
Created at: April 16, 2026, 5:12 p.m.