Triple

T2514373
Position Surface form Disambiguated ID Type / Status
Subject Erytheia E52776 entity
Predicate sibling P363 FINISHED
Object Aegle E51870 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: Aegle | Statement: [Erytheia, sibling, Aegle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aegle
Context triple: [Erytheia, sibling, Aegle]
  • A. Aegle chosen
    Aegle is a figure from Greek mythology, often identified as one of the Hesperides, the nymphs associated with a blissful garden at the western edge of the world.
  • B. Scidrus
    Scidrus was an ancient Greek colonial settlement in southern Italy associated with the wealthy city of Sybaris.
  • C. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • D. Phasaelis
    Phasaelis was a Nabatean princess, daughter of King Aretas IV, best known as the first wife of Herod Antipas whose repudiation of her led to political and military conflict.
  • E. Ennepetal
    Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20c8ab0819096d6a654039beb39 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b934d3c81909627a5f4d6e6ca6a completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.