Triple

T19171632
Position Surface form Disambiguated ID Type / Status
Subject Velino E469333 entity
Predicate confluenceWith P2416 FINISHED
Object Nera NE NERFINISHED

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: Nera | Statement: [Velino, confluenceWith, Nera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nera
Context triple: [Velino, confluenceWith, Nera]
  • A. Nera chosen
    Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
  • B. Nireno
    Nireno is a minor character in George Frideric Handel’s Baroque opera "Giulio Cesare," typically portrayed as a servant or intermediary involved in the political intrigues of the plot.
  • C. Kala Nera
    Kala Nera is a seaside village in the Pelion region of Greece, known for its beaches, traditional tavernas, and relaxed holiday atmosphere along the Pagasetic Gulf.
  • D. Nila
    Nila is a small volcanic island in Indonesia’s Banda Sea, known for its active volcano and remote location within the Inner Banda Arc.
  • E. Nila
    Nila is a major river in the Indian state of Kerala, culturally renowned for its historical significance and role in the region’s literature and traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16481948190973067eb854da237 completed April 20, 2026, 9:27 a.m.
Created at: April 10, 2026, 12:06 p.m.