Triple

T2787795
Position Surface form Disambiguated ID Type / Status
Subject Northern Greece E61852 entity
Predicate containsCity P294 FINISHED
Object Polygyros E97417 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: Polygyros | Statement: [Northern Greece, containsCity, Polygyros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polygyros
Context triple: [Northern Greece, containsCity, Polygyros]
  • A. Polygyros chosen
    Polygyros is a town in northern Greece that serves as the capital of the Chalkidiki regional unit in Central Macedonia.
  • B. Gorgophone
    Gorgophone is a figure in Greek mythology, traditionally known as a daughter of Perseus and Andromeda and noted as one of the first women to remarry after being widowed.
  • C. Spyridium
    Spyridium is a genus of flowering shrubs native mainly to Australia, known for their small, clustered flowers and often woolly or hairy foliage.
  • D. Polyxo
    Polyxo is a figure from Greek mythology known as one of the daughters of the Titan Atlas.
  • E. Wheels of Zeus
    Wheels of Zeus was a technology company co-founded by Apple co-founder Steve Wozniak that focused on developing wireless GPS-based tracking devices and services.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb264c88190af1699785ecf3161 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6555ee08190b1ddd5446818f74e completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:57 p.m.