Triple

T809061
Position Surface form Disambiguated ID Type / Status
Subject Blackley E17502 entity
Predicate region P40 FINISHED
Object North Manchester E97737 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: North Manchester | Statement: [Blackley, region, North Manchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Manchester
Context triple: [Blackley, region, North Manchester]
  • A. North Manchester chosen
    North Manchester is an area of Greater Manchester, England, encompassing several inner-city and suburban districts north of Manchester city centre.
  • B. Trafford
    Trafford is a metropolitan borough in Greater Manchester, England, encompassing a mix of residential, commercial, and sporting areas including parts of Manchester’s urban region.
  • C. Newark-on-Trent
    Newark-on-Trent is a historic market town in Nottinghamshire, England, known for its medieval castle ruins, role in the English Civil War, and position on the River Trent.
  • D. Manchester Central
    Manchester Central is a major exhibition and conference venue in Manchester, England, housed in a former railway station and used for large-scale events, trade shows, and conventions.
  • E. Wakefield
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab256cbc8190bf75b5d5e35ff0aa completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b47ba481908a8db2bec414a3e4 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.