Triple

T18813565
Position Surface form Disambiguated ID Type / Status
Subject Grey Street, Newcastle upon Tyne E460075 entity
Predicate connectsTo P845 FINISHED
Object Dean Street
Dean Street is a central street in Newcastle upon Tyne, England, known for its historic architecture, shops, and proximity to the city’s Quayside area.
 E1783383 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: Dean Street | Statement: [Grey Street, Newcastle upon Tyne, connectsTo, Dean 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: Dean Street
Triple: [Grey Street, Newcastle upon Tyne, connectsTo, Dean Street]
Generated description
Dean Street is a central street in Newcastle upon Tyne, England, known for its historic architecture, shops, and proximity to the city’s Quayside 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3de2f6881908a9da4d5abd7ee61 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12da59d238819092bc4602e5ed6d0d completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 10, 2026, 11:53 a.m.