Triple

T15365049
Position Surface form Disambiguated ID Type / Status
Subject Persian satrapy of Hellespontine Phrygia E367390 entity
Predicate includes P1393 FINISHED
Object Sigeion E536163 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: Sigeion | Statement: [Persian satrapy of Hellespontine Phrygia, includes, Sigeion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigeion
Context triple: [Persian satrapy of Hellespontine Phrygia, includes, Sigeion]
  • A. Sigeion chosen
    Sigeion was an ancient Greek city in the Troad region near the entrance to the Hellespont, strategically important for controlling access to the Black Sea.
  • B. Selinous
    Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
  • C. Siklós
    Siklós is a historic town in southern Hungary known for its medieval castle and wine-producing region.
  • D. Alexandretta
    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.
  • E. 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.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4cc39c81908a0aff959352f6d5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.