Triple

T15147473
Position Surface form Disambiguated ID Type / Status
Subject municipality of Kileler E361849 entity
Predicate seat P75 FINISHED
Object Nikaia, Larissa E1139014 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: Nikaia, Larissa | Statement: [municipality of Kileler, seat, Nikaia, Larissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikaia, Larissa
Context triple: [municipality of Kileler, seat, Nikaia, Larissa]
  • A. Nikaia, Larissa chosen
    Nikaia, Larissa is a town in the Thessaly region of Greece that serves as an administrative and local service center for the surrounding rural area.
  • B. city of Larissa
    The city of Larissa is a major urban center in central Greece, historically significant as a Thessalian capital and modern regional hub for agriculture, commerce, and culture.
  • C. Poliochni
    Poliochni is an important prehistoric Aegean settlement on the island of Lemnos, often noted as one of the earliest known urban centers in Europe.
  • D. Nea Chora
    Nea Chora is a coastal neighborhood of Chania in Crete, Greece, known for its sandy beach, seaside tavernas, and relaxed local atmosphere.
  • E. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c825a481909d00098b0e743365 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff281848190a094bd697b19aaf3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.