Triple

T5444447
Position Surface form Disambiguated ID Type / Status
Subject 102nd Motorised Division Trento E122212 entity
Predicate garrison P75 FINISHED
Object Trento E17477 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: Trento | Statement: [102nd Motorised Division Trento, garrison, Trento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trento
Context triple: [102nd Motorised Division Trento, garrison, Trento]
  • A. Trento chosen
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • B. Udine
    Udine is a historic city in northeastern Italy’s Friuli region, known for its medieval center, Venetian-influenced architecture, and role as an important political and cultural hub.
  • C. Bolzano
    Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
  • D. Bolzano
    Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
  • E. Brescia
    Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ce3e4081908e11a731416c0378 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bc6c2d08190b3b83504b7a3fbcb completed March 22, 2026, 6:27 a.m.
Created at: March 20, 2026, 2:07 p.m.