Triple

T14675016
Position Surface form Disambiguated ID Type / Status
Subject King’s Gardens E344612 entity
Predicate near P350 FINISHED
Object Southport town centre E68739 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: Southport town centre | Statement: [King’s Gardens, near, Southport town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southport town centre
Context triple: [King’s Gardens, near, Southport town centre]
  • A. Southport Promenade
    Southport Promenade is a historic seafront walkway in the coastal town of Southport, England, known for its views over the Marine Lake and traditional seaside attractions.
  • B. Southport
    Southport is a small city located within Marion County in the U.S. state of Indiana.
  • C. Southport
    Southport is an elevated Chicago 'L' train station in the Lakeview neighborhood, serving the CTA Brown Line.
  • D. Southport chosen
    Southport is a seaside town and popular tourist resort on the Irish Sea coast in North West England.
  • E. Southport
    Southport is a major coastal suburb and business hub of the City of Gold Coast in Queensland, Australia, known for its waterfront, shopping, and commercial precincts.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5666e648190b5faa07076f497b8 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7772508190bee1eb310aa40372 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:27 a.m.