Triple

T610963
Position Surface form Disambiguated ID Type / Status
Subject Tiber E12096 entity
Predicate hasTributary P415 FINISHED
Object Aniene E71691 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: Aniene | Statement: [Tiber, hasTributary, Aniene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aniene
Context triple: [Tiber, hasTributary, Aniene]
  • A. Aniene chosen
    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.
  • B. 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.
  • C. Lambro
    The Lambro is a river in northern Italy that flows through the Lombardy region, including the city of Milan, before joining the Po River.
  • D. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. 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.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df7c088819082eb70de4f0f4fbf completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8ff78c8190954d33f9e4556cca completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:35 p.m.