Triple

T18250067
Position Surface form Disambiguated ID Type / Status
Subject Chelsea 2004–05 Premier League title-winning season E437065 entity
Predicate fewestGoalsConcededRecord P128971 FINISHED
Object 15 league goals conceded LITERAL 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: 15 league goals conceded | Statement: [Chelsea 2004–05 Premier League title-winning season, fewestGoalsConcededRecord, 15 league goals conceded]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fewestGoalsConcededRecord
Context triple: [Chelsea 2004–05 Premier League title-winning season, fewestGoalsConcededRecord, 15 league goals conceded]
  • A. mostCleanSheetsClub
    Indicates that the club holds the record for the highest number of clean sheets (matches without conceding a goal) in a given context.
  • B. goalsConceded chosen
    Indicates the number of goals a team or player has allowed the opposing side to score.
  • C. totalGoalsRecord
    Indicates the total number of goals that have been recorded for an entity across all relevant events or contexts.
  • D. mostGoalsInSingleGameOpponent
    Indicates the opposing team against which an entity scored its highest number of goals in a single game.
  • E. recordGoalsHolder
    Indicates that the subject entity holds the record for the highest number of goals scored in a given context.
  • F. None of above.

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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8065b08190ae8d37102141f470 completed April 19, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69e44fcdee748190bae6fb76e0cb22f3 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:33 a.m.