Triple

T7320282
Position Surface form Disambiguated ID Type / Status
Subject Ascra E168523 entity
Predicate near P350 FINISHED
Object Thespiae E165038 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: Thespiae | Statement: [Ascra, near, Thespiae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thespiae
Context triple: [Ascra, near, Thespiae]
  • A. Thespiae chosen
    Thespiae was an ancient Greek city-state in Boeotia, noted for its participation in the Persian Wars and its cultural significance in classical Greece.
  • B. Phthia
    Phthia is an ancient region in Greek mythology, often associated with heroes like Achilles and considered a homeland of notable mythic figures.
  • C. Sikyon
    Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
  • D. Coronea
    Coronea was an ancient city of Boeotia in central Greece, known for its strategic location and role in several classical Greek battles.
  • E. Pherae
    Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef01ea8c819091cd4106039c121e completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.