Triple

T4182228
Position Surface form Disambiguated ID Type / Status
Subject Lake Peipus E88220 entity
Predicate knownFor P22 FINISHED
Object Battle on the Ice E165391 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: Battle on the Ice | Statement: [Lake Peipus, knownFor, Battle on the Ice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battle on the Ice
Context triple: [Lake Peipus, knownFor, Battle on the Ice]
  • A. Battle on the Ice chosen
    Battle on the Ice was a 1242 military engagement on the frozen Lake Peipus in which Alexander Nevsky’s forces decisively defeated the Teutonic Knights, halting their eastward expansion.
  • B. Sea of Ice
    Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
  • C. Sea of Ice
    Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
  • D. The Ice Palace
    "The Ice Palace" is a short story by F. Scott Fitzgerald that explores themes of regional contrast, emotional isolation, and disillusionment through the relationship between a Southern woman and a Northern man.
  • E. Ice March
    The Ice March was a grueling winter retreat of White Army forces during the Russian Civil War, marked by extreme hardship and heavy losses.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0305e2e88190a51f176f8534f1f9 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.