Triple

T2429878
Position Surface form Disambiguated ID Type / Status
Subject Huddersfield Line E52816 entity
Predicate via P5680 FINISHED
Object Huddersfield E42265 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: Huddersfield | Statement: [Huddersfield Line, via, Huddersfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huddersfield
Context triple: [Huddersfield Line, via, Huddersfield]
  • A. Huddersfield chosen
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • B. Todmorden
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • C. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • 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. 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8376d6dc81909bf1e5caefb304ef completed March 10, 2026, 2:35 a.m.
Created at: March 6, 2026, 9:43 p.m.