Triple

T5000585
Position Surface form Disambiguated ID Type / Status
Subject Lilaea E112361 entity
Predicate hasNameVariant P457 FINISHED
Object Lilaia E484000 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: Lilaia | Statement: [Lilaea, hasNameVariant, Lilaia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilaia
Context triple: [Lilaea, hasNameVariant, Lilaia]
  • A. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • B. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • C. Λίλαια chosen
    Λίλαια is the Greek name for Lilaea, an ancient town and sanctuary site in Phocis, central Greece, associated with the worship of local deities and springs.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72bd90948190bf6ca21237402949 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c54ff088190b1be52c080ebb02d completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:34 p.m.