Triple

T7782937
Position Surface form Disambiguated ID Type / Status
Subject Erasinos River E221567 entity
Predicate referencedAs P8581 FINISHED
Object Erasinos E665355 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: Erasinos | Statement: [Erasinos River, referencedAs, Erasinos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erasinos
Context triple: [Erasinos River, referencedAs, Erasinos]
  • A. Erasinos chosen
    Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
  • B. Damaskinos
    Damaskinos is a Greek-origin surname historically associated with notable religious and cultural figures.
  • C. Ariphron
    Ariphron was an Athenian statesman of the 5th century BCE, known primarily as the elder brother of the famous orator Pericles.
  • D. Dagisthaeus
    Dagisthaeus was a 6th-century Byzantine general known for leading imperial forces during the Lazic War against the Sasanian Empire.
  • E. Linos
    Linos is an alternative form of the name Linus, often associated with figures from ancient Greek mythology and early Christian tradition.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1f9c648190ac2b06d0d54035ea completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:22 p.m.