Triple

T842847
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk E18213 entity
Predicate twinCity P1072 FINISHED
Object Sheffield E17685 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: Sheffield | Statement: [Gdańsk, twinCity, Sheffield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheffield
Context triple: [Gdańsk, twinCity, Sheffield]
  • A. Sheffield chosen
    Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
  • B. Sheffield
    Sheffield is a small city in northwestern Alabama, part of the Muscle Shoals metropolitan area known for its rich musical heritage and Tennessee River location.
  • C. Sheffield
    Sheffield is a small rural town in southwestern Massachusetts known for its scenic landscapes, historic charm, and location in the Berkshires.
  • D. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • E. Nottingham
    Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0330b4819089042160ff199336 completed March 8, 2026, 12:12 a.m.
Created at: March 1, 2026, 7:38 p.m.