Triple

T22585178
Position Surface form Disambiguated ID Type / Status
Subject Tatia E564768 entity
Predicate culture P1114 FINISHED
Object Sabine 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: Sabine | Statement: [Tatia, culture, Sabine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabine
Context triple: [Tatia, culture, Sabine]
  • A. Sabine
    Sabine is a surname most notably associated with Wallace Clement Sabine, the American physicist who founded the field of architectural acoustics.
  • B. Sabine chosen
    Sabine is a feminine given name of Latin origin, historically associated with the ancient Sabine people of central Italy.
  • C. Sabine
    The Sabines were an ancient Italic people of central Italy whose culture and traditions significantly influenced early Roman society.
  • D. Sabine
    Sabine is a lunar impact crater located on the Moon’s Mare Tranquillitatis, notable for its relatively smooth floor and association with nearby Apollo landing sites.
  • E. Sabina
    Sabina is a central character in Thornton Wilder’s play "The Skin of Our Teeth," serving as both a maid and a self-aware, often comedic commentator who breaks the fourth wall to reflect on the absurdities of human existence.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615c18f88190ad4f23639d15f337 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:45 p.m.