Triple

T11922547
Position Surface form Disambiguated ID Type / Status
Subject Penge civil parish E283692 entity
Predicate adjacentTo P224 FINISHED
Object Sydenham E236913 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: Sydenham | Statement: [Penge civil parish, adjacentTo, Sydenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydenham
Context triple: [Penge civil parish, adjacentTo, Sydenham]
  • A. Sydenham chosen
    Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • B. Sydenham
    Sydenham is a district in east Belfast, Northern Ireland, known for its residential areas and proximity to key transport links including George Best Belfast City Airport.
  • C. Sydenham
    Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
  • D. Moorfield
    Moorfield is a given name most notably borne by Moorfield Storey, an American lawyer and civil rights leader who served as the first president of the NAACP.
  • E. Winster
    Winster is a historic village in England’s Peak District, known for its traditional stone houses, former lead-mining heritage, and well-preserved conservation area.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44042cf1c81909de44acfe1202482 completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.