Triple

T19705297
Position Surface form Disambiguated ID Type / Status
Subject New Bridge Street E473197 entity
Predicate connectsTo P845 FINISHED
Object Pilgrim Street
Pilgrim Street is a central street in Newcastle upon Tyne, England, known for its historic role in the city’s commercial and urban development.
 E1880616 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: Pilgrim Street | Statement: [New Bridge Street, connectsTo, Pilgrim 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: Pilgrim Street
Triple: [New Bridge Street, connectsTo, Pilgrim Street]
Generated description
Pilgrim Street is a central street in Newcastle upon Tyne, England, known for its historic role in the city’s commercial and urban development.

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa4387b48190827f5e9c3557c8a7 completed June 8, 2026, 11:40 a.m.
NEDg Description generation batch_6a26ae71575081908f792ba4e0bce3f2 completed June 8, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_6a26b2549840819082678037e8c97eb2 completed June 8, 2026, 12:15 p.m.
Created at: April 10, 2026, 1:46 p.m.