Triple

T20533501
Position Surface form Disambiguated ID Type / Status
Subject Comune di Rio E504128 entity
Predicate hasPart P35 FINISHED
Object Rio Marina 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: Rio Marina | Statement: [Comune di Rio, hasPart, Rio Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Marina
Context triple: [Comune di Rio, hasPart, Rio Marina]
  • A. Rio Marina chosen
    Rio Marina is a coastal town and former iron-mining center on the Italian island of Elba, known today as a small tourist and ferry hub.
  • B. Genoa River
    The Genoa River is a watercourse in Argentina that serves as one of the tributaries feeding into the larger Chubut River system in Patagonia.
  • C. La Ribera
    La Ribera is a historic neighborhood in Barcelona known for its medieval streets, vibrant cultural scene, and notable attractions such as the Picasso Museum.
  • D. Porto Palermo Bay
    Porto Palermo Bay is a scenic coastal inlet in southern Albania known for its clear waters, sheltered anchorage, and historic surroundings.
  • E. Riva Ligure
    Riva Ligure is a small coastal town on the Italian Riviera in Liguria, known for its beaches, historic center, and seaside promenade.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.