Triple

T20935106
Position Surface form Disambiguated ID Type / Status
Subject Agenor E515563 entity
Predicate spouse P13 FINISHED
Object Damno 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: Damno | Statement: [Agenor, spouse, Damno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damno
Context triple: [Agenor, spouse, Damno]
  • A. Damno chosen
    Damno is a figure from Greek mythology known primarily as the wife of Agenor, a Phoenician king and father of notable children such as Europa and Cadmus.
  • B. Aliakmonas River
    The Aliakmonas River is the longest river entirely within Greece, flowing through the region of Macedonia before emptying into the Aegean Sea.
  • C. Pedius River
    Pedius River is a watercourse on the island of Cyprus, historically known as the Pedieos River, which flows through the capital city of Nicosia.
  • D. Alfeios River
    The Alfeios River is a major river in the Peloponnese region of Greece, historically significant in ancient Greek geography and mythology.
  • E. Pineios River
    The Pineios River is a major river in central Greece that flows through the fertile plains of Thessaly before emptying into the Aegean Sea.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f950d5e081908ec0df4824cf69f7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.