Triple

T4796578
Position Surface form Disambiguated ID Type / Status
Subject Aeolis E106726 entity
Predicate borders P224 FINISHED
Object Mysia E174451 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: Mysia | Statement: [Aeolis, borders, Mysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mysia
Context triple: [Aeolis, borders, Mysia]
  • A. Mysia chosen
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • B. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • C. Argithea
    Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
  • D. Aegae
    Aegae was the ancient royal city of Macedon and the original seat of the Argead dynasty, known for its palace complex and royal tombs.
  • E. Kranidi
    Kranidi is a coastal town in the Argolid region of the Peloponnese in Greece, known as a local administrative and commercial center near popular seaside resorts like Porto Heli.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.