Triple

T20133921
Position Surface form Disambiguated ID Type / Status
Subject Lake Lerna E490969 entity
Predicate cultSiteFor P21627 FINISHED
Object Dionysus NE NERFINISHED

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: Dionysus | Statement: [Lake Lerna, cultSiteFor, Dionysus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dionysus
Context triple: [Lake Lerna, cultSiteFor, Dionysus]
  • A. Dionysus chosen
    Dionysus is the ancient Greek god of wine, ecstasy, theater, and ritual madness, often linked to mystery cults and ecstatic worship.
  • B. Dionysos
    Dionysos is a suburban town in the northeastern part of the Athens metropolitan area in Greece, known for its scenic setting on the slopes of Mount Pentelicus.
  • C. Dionysios
    Dionysios is the Greek form of the name Denis, traditionally associated with Saint Denis of Paris, an early Christian martyr and bishop.
  • D. Bacchus
    Bacchus is a white wine grape variety, widely grown in Germany, known for producing aromatic, early-ripening wines often used in cool-climate regions.
  • E. Bacchus
    Bacchus is a comic book series by Eddie Campbell that reimagines the ancient god of wine as an aging, world-weary survivor navigating modern society.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676556c481909ffc80cd2009b65a completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.