Triple

T10253613
Position Surface form Disambiguated ID Type / Status
Subject Nicolás Sánchez E240405 entity
Predicate hasPlayedInCompetition P10753 FINISHED
Object Top 14 E237223 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: Top 14 | Statement: [Nicolás Sánchez, hasPlayedInCompetition, Top 14]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Top 14
Context triple: [Nicolás Sánchez, hasPlayedInCompetition, Top 14]
  • A. Top 14 chosen
    Top 14 is the premier professional rugby union league in France, featuring the country’s top clubs and many of the world’s best players.
  • B. Top 10
    Top 10 is a comic book series by Alan Moore that follows the lives of superpowered police officers working in a city where nearly everyone has extraordinary abilities.
  • C. Top Five
    Top Five is a 2014 comedy film written, directed by, and starring Chris Rock, following a comedian’s struggle to reinvent his career while navigating fame and relationships.
  • D. TOP 09
    TOP 09 is a Czech centre-right political party known for its pro-European stance and advocacy of fiscal responsibility and liberal-conservative policies.
  • E. At the Top
    At the Top is the Burj Khalifa’s main public observation experience, offering panoramic views of Dubai from some of the world’s highest viewing platforms.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23f106c81909c1ce20a2ffa86ea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7cec62c819083e493e0fc7c65b5 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:29 a.m.