Triple

T17030533
Position Surface form Disambiguated ID Type / Status
Subject Aviz E413181 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Avis E837677 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: Avis | Statement: [Aviz, hasAlternativeSpelling, Avis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avis
Context triple: [Aviz, hasAlternativeSpelling, Avis]
  • A. Avis chosen
    Avis is a historic rural municipality in Portugal’s Portalegre District, known for its medieval heritage and scenic Alentejo landscapes.
  • B. Enterprise Rent-A-Car
    Enterprise Rent-A-Car is a major American car rental company known for its extensive neighborhood and airport locations and customer-focused service.
  • C. Hertz
    Hertz is a German surname most famously associated with physicist Heinrich Hertz, after whom the unit of frequency is named.
  • D. Hertz
    Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
  • E. Alamo Rent A Car
    Alamo Rent A Car is a major American car rental company known for serving leisure travelers, particularly at airports across North America and internationally.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b553c588190b46785b85142dce5 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.