Triple

T4889974
Position Surface form Disambiguated ID Type / Status
Subject Ponte Coperto E109533 entity
Predicate crosses P416 FINISHED
Object Ticino River E295796 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: Ticino River | Statement: [Ponte Coperto, crosses, Ticino River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ticino River
Context triple: [Ponte Coperto, crosses, Ticino River]
  • A. Ticino River chosen
    The Ticino River is a major river in Switzerland and northern Italy that flows from the Swiss Alps through Lake Maggiore before joining the Po River.
  • B. Colagne River
    The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
  • C. Bienne River
    The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
  • D. River Reuss
    The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
  • E. Reuss River
    The Reuss River is a major Swiss river that flows from the Gotthard region through central Switzerland, including the city of Lucerne and Lake Lucerne, before joining the Aare.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89de55c48190a280ae0719b5a8b6 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:28 p.m.