Triple

T15260278
Position Surface form Disambiguated ID Type / Status
Subject Market Rasen Racecourse E364755 entity
Predicate notableRace P22 FINISHED
Object Summer Plate E1147040 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: Summer Plate | Statement: [Market Rasen Racecourse, notableRace, Summer Plate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summer Plate
Context triple: [Market Rasen Racecourse, notableRace, Summer Plate]
  • A. Summer Plate chosen
    Summer Plate is a notable National Hunt steeplechase run in Britain during the summer jumping season.
  • B. The Big Salad
    "The Big Salad" is an episode of the sitcom Seinfeld, notable for its subplot involving Newman and a comically contentious oversized salad.
  • C. Plenty
    "Plenty" is a 1985 British drama film directed by Fred Schepisi, adapted from David Hare’s play about a former World War II resistance courier struggling to find meaning in postwar England.
  • D. Plenty
    Plenty is an indoor vertical farming company that uses advanced technology to grow produce more efficiently and sustainably.
  • E. Plat du Jour
    Plat du Jour is an experimental electronic music album by Matthew Herbert that critiques industrialized food production using sounds sourced from everyday culinary and agricultural environments.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6def4c8190b6aed1f68d336c5a completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.