Triple

T15147534
Position Surface form Disambiguated ID Type / Status
Subject Larissa prefecture E361852 entity
Predicate contains P35 FINISHED
Object Larissa (city) E76059 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: Larissa (city) | Statement: [Larissa prefecture, contains, Larissa (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larissa (city)
Context triple: [Larissa prefecture, contains, Larissa (city)]
  • A. Larissa chosen
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • B. Larissa
    Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
  • C. 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.
  • D. Larissa prefecture
    Larissa prefecture was a former administrative division in central Greece centered on the city of Larissa, encompassing a significant part of the Thessaly region.
  • E. Stauropolis
    Stauropolis was the later Byzantine-era name of the ancient city of Aphrodisias in Caria, known as an important regional center and episcopal see.
  • 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_69ff1337412081909f683ed542699ed5 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 3:07 a.m.