Triple

T24317402
Position Surface form Disambiguated ID Type / Status
Subject Corporation Street, Manchester E612858 entity
Predicate hasJunctionWith P1018 FINISHED
Object Miller Street, Manchester
Miller Street, Manchester is a street in Manchester city centre known for its proximity to major commercial areas and its junction with key routes such as Corporation Street.
E1630559 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: Miller Street, Manchester | Statement: [Corporation Street, Manchester, hasJunctionWith, Miller Street, Manchester]
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: Miller Street, Manchester
Triple: [Corporation Street, Manchester, hasJunctionWith, Miller Street, Manchester]
Generated description
Miller Street, Manchester is a street in Manchester city centre known for its proximity to major commercial areas and its junction with key routes such as Corporation Street.

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_69e2d7da491c8190b6e6218af50923db completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292a834148190ab084c11cb3e59fe completed April 29, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd65779488190ae1e8e53fef449ea completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd79af7dc81909b36001ba18566fa completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd86469288190aa03fe497754bad3 completed May 22, 2026, 4:15 a.m.
Created at: April 18, 2026, 1:47 a.m.