Triple

T16554326
Position Surface form Disambiguated ID Type / Status
Subject Uga XI E402153 entity
Predicate follows P134 FINISHED
Object Uga X E402152 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: Uga X | Statement: [Uga XI, follows, Uga X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uga X
Context triple: [Uga XI, follows, Uga X]
  • A. Uga X chosen
    Uga X is the current live bulldog mascot of the University of Georgia, continuing the long-running Uga mascot lineage for the school's athletic teams.
  • B. Uga XI
    Uga XI is the current live bulldog mascot of the University of Georgia’s athletic teams, continuing the school’s long-running Uga mascot lineage.
  • C. XUA
    XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
  • D. Ug
    Ug is a shape-shifting intergalactic bounty hunter featured in the sci-fi horror comedy film "Critters 2: The Main Course."
  • E. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc737ac8190b755e2a39b6ef32b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ba4bec81909dfa87bcd2bfa7be completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.