Triple

T17489296
Position Surface form Disambiguated ID Type / Status
Subject PBS Distribution E425858 entity
Predicate associatedWithBrand P2830 FINISHED
Object NOVA 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: NOVA | Statement: [PBS Distribution, associatedWithBrand, NOVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOVA
Context triple: [PBS Distribution, associatedWithBrand, NOVA]
  • A. NOVA
    NOVA is a public research university in Lisbon, Portugal, known for its multidisciplinary programs and international outlook.
  • B. NOVA
    NOVA is the commonly used abbreviation for Northern Virginia Community College, a large public community college serving the Northern Virginia region.
  • C. NOVA Spektrum
    NOVA Spektrum is a major Norwegian exhibition and convention center located in Lillestrøm, hosting trade fairs, conferences, and large-scale events.
  • D. NOVA ScienceNow
    NOVA ScienceNow is a television science newsmagazine series that explores cutting-edge developments in science and technology, notably hosted for several seasons by astrophysicist Neil deGrasse Tyson.
  • E. television series Nova chosen
    Nova is a long-running American science documentary television series produced by PBS that explores a wide range of scientific topics for a general audience.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d461308190844c143dcfb61fac completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.