Triple

T4531891
Position Surface form Disambiguated ID Type / Status
Subject Mount Helicon E106315 entity
Predicate locatedNearAncientCity P55312 FINISHED
Object Ascra E168523 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: Ascra | Statement: [Mount Helicon, locatedNearAncientCity, Ascra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ascra
Context triple: [Mount Helicon, locatedNearAncientCity, Ascra]
  • A. Ascra chosen
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • B. Oropos
    Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
  • C. Aegium
    Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
  • D. Ambracia
    Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • E. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6231856c8190be9386a0ae15e7cf completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdace3a81c8190963ea65fa3df23c0 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:03 p.m.