Triple

T13778757
Position Surface form Disambiguated ID Type / Status
Subject Youth Olympic Games E331081 entity
Predicate shortName P43 FINISHED
Object YOG E331081 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: YOG | Statement: [Youth Olympic Games, shortName, YOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YOG
Context triple: [Youth Olympic Games, shortName, YOG]
  • A. YOG chosen
    YOG is the commonly used abbreviation for the Youth Olympic Games, an international multi-sport event for young athletes organized by the International Olympic Committee.
  • B. Yogad
    Yogad is an indigenous ethnolinguistic group in the northern Philippines known for its distinct Austronesian language and cultural traditions centered in the Cagayan Valley region.
  • C. YUG
    YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
  • D. Jóga
    "Jóga" is a 1997 song by Icelandic artist Björk, known for its dramatic string arrangements and emotional intensity, often cited as one of her signature tracks.
  • E. YOL
    YOL is the IATA airport code for Yola Airport, which serves the city of Yola in northeastern Nigeria.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0239cbfc81909064ac2457fdfff5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07670b08190a205d3c7ccb9dded completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.