Triple

T11998276
Position Surface form Disambiguated ID Type / Status
Subject Downtown Core E285585 entity
Predicate borders P224 FINISHED
Object Outram E229812 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: Outram | Statement: [Downtown Core, borders, Outram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outram
Context triple: [Downtown Core, borders, Outram]
  • A. Outram chosen
    Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
  • B. Outram
    Outram is an English surname historically associated with several notable figures, including British military officers and public servants.
  • C. Rick Ridgeway
    Rick Ridgeway is an American mountaineer, environmentalist, and author known for pioneering climbs and influential conservation work.
  • D. Jacomb Hood
    Jacomb Hood was a British artist and illustrator known for his book illustrations and portrait paintings in the late 19th and early 20th centuries.
  • E. Brigadier Gerard
    Brigadier Gerard is a 1927 silent adventure film adaptation of Arthur Conan Doyle’s stories about a dashing French cavalry officer during the Napoleonic Wars.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.