Triple

T2266652
Position Surface form Disambiguated ID Type / Status
Subject Sidcup E50159 entity
Predicate hasPostTown P2711 FINISHED
Object SIDCUP E237400 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: SIDCUP | Statement: [Sidcup, hasPostTown, SIDCUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIDCUP
Context triple: [Sidcup, hasPostTown, SIDCUP]
  • A. SIDCUP chosen
    SIDCUP is a suburban district in southeast London, England, known for its residential character and commuter links into central London.
  • B. CUP
    CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
  • C. The Cup
    The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
  • D. CUPAR
    CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
  • E. CID
    The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.