Triple

T585303
Position Surface form Disambiguated ID Type / Status
Subject Turin E15144 entity
Predicate locatedOnRiver P165 FINISHED
Object Po River E18553 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: Po River | Statement: [Turin, locatedOnRiver, Po River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Po River
Context triple: [Turin, locatedOnRiver, Po River]
  • A. Po River chosen
    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.
  • B. Aniene
    The Aniene is a river in central Italy that flows through the Apennines and joins the Tiber near Rome, historically important as a water source for the ancient city.
  • C. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • D. Tiber
    The Tiber is the historic river in central Italy that flows through Rome and played a crucial role in the city's founding, development, and trade.
  • E. Ain River
    The Ain River is a significant waterway in eastern France that flows through the Jura and Ain departments before joining the Rhône.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9874c88190bd1e08d4689ea124 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f33e59c8190b3593b8460411fba completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:33 p.m.