Triple

T15147539
Position Surface form Disambiguated ID Type / Status
Subject Larissa prefecture E361852 entity
Predicate contains P35 FINISHED
Object Tempi E361848 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: Tempi | Statement: [Larissa prefecture, contains, Tempi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempi
Context triple: [Larissa prefecture, contains, Tempi]
  • A. Tempi chosen
    Tempi is a municipality in the Thessaly region of central Greece, known for its scenic location near the Vale of Tempe and along the Pinios River.
  • B. De tempore
    De tempore is a medieval theological work by Edmund of Abingdon that reflects his scholastic approach to Christian doctrine and moral teaching.
  • C. Timet
    Timet is a leading global producer and supplier of titanium metal products used primarily in aerospace, industrial, and military applications.
  • D. The Time
    The Time is a funk and R&B band from Minneapolis best known for its close association with Prince and its prominent role in the early 1980s Minneapolis sound.
  • E. Timni
    Timni is an alternative name for the Temne people, a major ethnic group primarily found in Sierra Leone in West Africa.
  • 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.