Triple

T11257706
Position Surface form Disambiguated ID Type / Status
Subject R21 freeway E266480 entity
Predicate near P350 FINISHED
Object Irene E76766 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: Irene | Statement: [R21 freeway, near, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [R21 freeway, near, Irene]
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • D. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • E. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cca0d25c8190bfdbe1f6ee3b04cb completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.