Triple

T13574192
Position Surface form Disambiguated ID Type / Status
Subject MKS Cracovia E324239 entity
Predicate nickname P55 FINISHED
Object The Stripes E320394 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: The Stripes | Statement: [MKS Cracovia, nickname, The Stripes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stripes
Context triple: [MKS Cracovia, nickname, The Stripes]
  • A. The Stripes chosen
    The Stripes is the popular nickname of Polish football club Cracovia, one of the country’s oldest and most historic teams.
  • B. Blue Band
    Blue Band is the renowned marching band of Pennsylvania State University, known for its performances at football games and university events.
  • C. Blue Band
    Blue Band is a well-known margarine and spreads brand widely sold in various international markets.
  • D. Blue Army
    The Blue Army was a Polish military force formed in France during World War I, composed largely of Polish volunteers and expatriates, that played a key role in Poland’s fight for independence and subsequent border conflicts.
  • E. Lt. Dan Band
    Lt. Dan Band is a rock cover band founded by actor Gary Sinise that frequently performs for U.S. troops, veterans, and charitable causes.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb827d48190958e5710d554cd04 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.