Triple

T5523936
Position Surface form Disambiguated ID Type / Status
Subject Pyrgi E144877 entity
Predicate associatedDeity P1481 FINISHED
Object Uni E143944 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: Uni | Statement: [Pyrgi, associatedDeity, Uni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uni
Context triple: [Pyrgi, associatedDeity, Uni]
  • A. Uni chosen
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • B. UNI
    UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
  • C. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • D. Universia
    Universia is an Ibero-American university network and online platform that connects higher education institutions across Spanish- and Portuguese-speaking countries to promote collaboration, academic resources, and educational services.
  • E. UIC
    UIC is the International Union of Railways, a global organization that standardizes and promotes cooperation in the railway sector worldwide.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f85c8508190a0a089402b49a04f completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027f6aa1c8190b639c317c7d60f64 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.