Triple

T9708350
Position Surface form Disambiguated ID Type / Status
Subject Centaurs E234955 entity
Predicate relatedMythologicalType P54299 FINISHED
Object Sileni E99718 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: Sileni | Statement: [Centaurs, relatedMythologicalType, Sileni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sileni
Context triple: [Centaurs, relatedMythologicalType, Sileni]
  • A. Sileni chosen
    Sileni are mythological woodland spirits or companions of Dionysus in Greek mythology, often depicted as older, drunken satyrs associated with revelry and rustic wisdom.
  • B. Silenen
    Silenen is a Swiss municipality located in the mountainous canton of Uri in central Switzerland.
  • C. Sylvae
    Sylvae is a collection of Latin poetic works by the Renaissance humanist Angelo Poliziano, showcasing his erudition and mastery of classical scholarship.
  • D. Derveni
    Derveni is a coastal village in the Corinthia region of Greece, known for its seaside location along the Gulf of Corinth.
  • E. Pármeno
    Pármeno is a loyal yet conflicted servant in the Spanish tragicomedy "La Celestina," whose shifting allegiances and moral struggles play a key role in the unfolding tragedy.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da5e09081909456909d768611e6 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8476e08190865700679069dee6 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.