Triple

T16985201
Position Surface form Disambiguated ID Type / Status
Subject Rižana River E412046 entity
Predicate suppliesWaterTo P4102 FINISHED
Object Piran E107565 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: Piran | Statement: [Rižana River, suppliesWaterTo, Piran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piran
Context triple: [Rižana River, suppliesWaterTo, Piran]
  • A. Piran chosen
    Piran is a picturesque medieval coastal town on Slovenia’s Adriatic coast, renowned for its Venetian architecture, narrow streets, and scenic seaside promenade.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Papanduva
    Papanduva is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
  • D. Piranga
    Piranga is a genus of brightly colored New World songbirds in the cardinal family, commonly known as tanagers.
  • E. Marinca
    Marinca is the surname of Romanian actress Anamaria Marinca, known for her acclaimed performances in European cinema.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18af95c8190a25ef0614e1a17f3 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.