Triple

T3533316
Position Surface form Disambiguated ID Type / Status
Subject Seveso E74711 entity
Predicate mouth P407 FINISHED
Object Lambro E75302 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: Lambro | Statement: [Seveso, mouth, Lambro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambro
Context triple: [Seveso, mouth, Lambro]
  • A. Lambro chosen
    The Lambro is a river in northern Italy that flows through the Lombardy region, including the city of Milan, before joining the Po River.
  • B. Bacchiglione River
    The Bacchiglione River is a watercourse in northeastern Italy that flows through the Veneto region, including the city of Padua, before joining the Brenta River.
  • C. Mincio
    The Mincio is a river in northern Italy that flows from Lake Garda through cities like Mantua before joining the Po River.
  • D. Po River
    The Po River is the longest river in Italy, flowing eastward across northern Italy’s plains to the Adriatic Sea and serving as a major geographic and economic artery for the region.
  • E. Ma River
    The Ma River is a major river in Southeast Asia that flows through north-central Vietnam and Laos before emptying into the Gulf of Tonkin.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9b945481909867d44b810e8b1f completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fab6d48190b13076783a62b96f completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:19 p.m.