Triple

T21317015
Position Surface form Disambiguated ID Type / Status
Subject İskenderun E525497 entity
Predicate historicalName P65 FINISHED
Object Alexandretta 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: Alexandretta | Statement: [İskenderun, historicalName, Alexandretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandretta
Context triple: [İskenderun, historicalName, Alexandretta]
  • A. Alexandretta chosen
    Alexandretta, historically known as İskenderun, is a strategic port city on Turkey’s Mediterranean coast that has long been a focal point of regional trade and territorial disputes.
  • B. Eresos
    Eresos is a historic coastal village on the Greek island of Lesbos, known as the birthplace of the ancient poet Sappho and for its scenic beaches.
  • C. Theodosia
    Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
  • D. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • E. Nossis
    Nossis was a Hellenistic Greek poet from Locri in southern Italy, known for her epigrams that often explore themes of female experience, love, and devotion.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:34 p.m.