Triple

T10186169
Position Surface form Disambiguated ID Type / Status
Subject Sydenham E236913 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Upper 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: Upper Sydenham | Statement: [Sydenham, hasNeighbourhood, Upper Sydenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Sydenham
Context triple: [Sydenham, hasNeighbourhood, Upper Sydenham]
  • A. Lower Sydenham
    Lower Sydenham is a suburban area in southeast London, England, known primarily as a residential district with its own railway station on the line between central London and Kent.
  • B. Sydenham
    Sydenham is the former name of the Canadian city now known as Owen Sound in Ontario.
  • C. Sydenham chosen
    Sydenham is a suburban district in southeast London, England, known for its Victorian architecture, green spaces, and residential character.
  • D. 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.
  • E. Sandy Hill
    Sandy Hill is a historic, centrally located Ottawa neighbourhood known for its mix of embassies, university buildings, and diverse residential areas.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317adddc88190a41d0eabe64f952b completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.