Triple

T5130463
Position Surface form Disambiguated ID Type / Status
Subject Rijeka E115683 entity
Predicate historicalName P65 FINISHED
Object Fiume E225516 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: Fiume | Statement: [Rijeka, historicalName, Fiume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiume
Context triple: [Rijeka, historicalName, Fiume]
  • A. Fiume chosen
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • B. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • D. Volturno River
    The Volturno River is a major river in southern Italy that flows through the historical region of Samnium before emptying into the Tyrrhenian Sea.
  • E. Montone River
    The Montone River is a watercourse in the Emilia-Romagna region of northern Italy that flows through the city of Forlì before joining other rivers on its way to the Adriatic Sea.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7827c764819086da3b79f2020224 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c626a48190b2fd81b88b5a59cc completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:42 p.m.