Triple

T29710335
Position Surface form Disambiguated ID Type / Status
Subject FIFA World Cup group tiebreaking criteria E751760 entity
Predicate rankingOrderStartsWith P178316 FINISHED
Object overall goal difference 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: overall goal difference | Statement: [FIFA World Cup group tiebreaking criteria, rankingOrderStartsWith, overall goal difference]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingOrderStartsWith
Context triple: [FIFA World Cup group tiebreaking criteria, rankingOrderStartsWith, overall goal difference]
  • A. orderOf
    Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
  • B. hasRankOrder
    Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
  • C. rankIndicated
    Indicates that one entity specifies, denotes, or reveals the hierarchical rank or level of another entity.
  • D. lowerRankedOrder
    Indicates that one entity holds a lower rank or priority in an ordered sequence relative to another entity.
  • E. rankByProminence
    Indicates that entities are ordered or assigned a position based on their level of prominence or notability relative to one another.
  • F. None of above. chosen

Provenance (4 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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
PDg Predicate description generation batch_69f70e854b9c8190a3416e2189e17742 completed May 3, 2026, 8:59 a.m.
Created at: April 28, 2026, 7:30 p.m.