Triple

T15462521
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Larissa E371938 entity
Predicate seat P75 FINISHED
Object Larissa 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 | Statement: [Municipality of Larissa, seat, Larissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larissa
Context triple: [Municipality of Larissa, seat, Larissa]
  • 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. Larisa
    Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
  • D. Larisa
    Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Dymitria
    Dymitria is an alternative name for the Dymitriads, a religious celebration or festival associated with Saint Demetrius in Christian tradition.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b6f3dc81909a97913da6b739bd completed May 9, 2026, 3:45 p.m.
Created at: April 10, 2026, 3:32 a.m.