Triple

T18438023
Position Surface form Disambiguated ID Type / Status
Subject Ciron River E450444 entity
Predicate hasName P744 FINISHED
Object Ciron 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: Ciron | Statement: [Ciron River, hasName, Ciron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciron
Context triple: [Ciron River, hasName, Ciron]
  • A. Cirón chosen
    Cirón is a river in southwestern France known for flowing through the Sauternes wine region, where its cool misty microclimate helps produce the area’s famous sweet wines.
  • B. Dorus
    Dorus is a figure in Greek mythology regarded as the eponymous ancestor of the Dorian people.
  • C. Erasinos
    Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
  • D. Menides
    Menides was an ancient Greek from Antioch on the Maeander, known primarily as the father of Alexandros mentioned in historical records.
  • E. Kirphis
    Kirphis is an alternative name for Mount Cirphis, a mountain in central Greece near Delphi in the region of Phocis.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.