Triple

T20038268
Position Surface form Disambiguated ID Type / Status
Subject Mount Florida railway station E497337 entity
Predicate serves P98 FINISHED
Object Mount Florida NE NERFINISHED

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: Mount Florida | Statement: [Mount Florida railway station, serves, Mount Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Florida
Context triple: [Mount Florida railway station, serves, Mount Florida]
  • A. Mount Florida chosen
    Mount Florida is a residential district in the south side of Glasgow, Scotland, known for its proximity to major sporting venues and good transport links to the city centre.
  • B. Mount Cameron
    Mount Cameron is a mountain peak in the Beaufort Range on Vancouver Island, British Columbia, known for its rugged terrain and forested surroundings.
  • C. Mount Cameron
    Mount Cameron is a Colorado fourteener in the Mosquito Range, commonly summited along with nearby peaks such as Mount Bross.
  • D. Mount Newcomb
    Mount Newcomb is a high Sierra Nevada summit in California known as one of the state's notable alpine peaks popular with experienced hikers and climbers.
  • E. Mount Humphreys
    Mount Humphreys is a prominent high-elevation peak in the Sierra Nevada of California, popular with climbers for its rugged terrain and alpine scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e9e99c81909b7d50eac893c414 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.