Triple

T17320220
Position Surface form Disambiguated ID Type / Status
Subject Rochester Americans E420538 entity
Predicate hasNickname P39 FINISHED
Object Amerks NE ONNED1

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: Amerks | Statement: [Rochester Americans, hasNickname, Amerks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amerks
Context triple: [Rochester Americans, hasNickname, Amerks]
  • A. Amerks chosen
    Amerks is the common nickname for the Rochester Americans, a professional ice hockey team in the American Hockey League.
  • B. Ameretat
    Ameretat is a Zoroastrian Amesha Spenta associated with immortality and the protection of plant life.
  • C. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • D. Amer
    Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
  • E. Amer
    Amer is a historic town near Jaipur in Rajasthan, India, best known for the hilltop Amer Fort, a major example of Rajput architecture and a UNESCO World Heritage Site.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439a066b481908e8aee1885809eba completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954cfd048190b201c5e457c2a4a2 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.