Triple

T6087308
Position Surface form Disambiguated ID Type / Status
Subject altar of Athena on the Acropolis E135670 entity
Predicate dedicatedTo P500 FINISHED
Object Athena E13958 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: Athena | Statement: [altar of Athena on the Acropolis, dedicatedTo, Athena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athena
Context triple: [altar of Athena on the Acropolis, dedicatedTo, Athena]
  • A. Athena chosen
    Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
  • B. Athena
    Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
  • C. Artémis
    Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
  • D. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • E. Artemis
    Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578bf2508190859c2dbd4c10b316 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125274e1c8190b452fdeeb788a6f2 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:12 p.m.