Triple

T9748089
Position Surface form Disambiguated ID Type / Status
Subject University of Tennessee at Chattanooga E236367 entity
Predicate hasNickname P39 FINISHED
Object Mocs E808755 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: Mocs | Statement: [University of Tennessee at Chattanooga, hasNickname, Mocs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mocs
Context triple: [University of Tennessee at Chattanooga, hasNickname, Mocs]
  • A. Mocs chosen
    Mocs is the nickname for the University of Tennessee at Chattanooga's athletic teams, known for competing in NCAA Division I sports.
  • B. Csokas
    Csokas is the surname of Marton Csokas, a New Zealand actor known for roles in films such as "The Lord of the Rings" and "Kingdom of Heaven."
  • C. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • D. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • E. Mesolcina
    Mesolcina is a valley region in the southern part of the Swiss canton of Graubünden, known for its Italian-speaking communities and Alpine landscape.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.