Triple

T20231469
Position Surface form Disambiguated ID Type / Status
Subject Pekár E495535 entity
Predicate isTransliteratedWithoutDiacriticsAs P128884 FINISHED
Object Pekar NE NERFINISHED

How this triple was built (3 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: Pekar | Statement: [Pekár, isTransliteratedWithoutDiacriticsAs, Pekar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekar
Context triple: [Pekár, isTransliteratedWithoutDiacriticsAs, Pekar]
  • A. Pekar chosen
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • B. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • C. Peketa
    Peketa is a small coastal settlement in New Zealand’s South Island, located just south of the town of Kaikōura.
  • D. Pakir
    Pakir is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
  • E. Pakiri
    Pakiri is a coastal area in New Zealand known for its sandy beach and dunes, important wildlife habitats, and recreational activities such as swimming and surfing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isTransliteratedWithoutDiacriticsAs
Context triple: [Pekár, isTransliteratedWithoutDiacriticsAs, Pekar]
  • A. isTransliteratedWithoutDiacriticsInEnglish chosen
    Indicates that an entity’s name or term is represented in English letters without including any diacritical marks from the original script.
  • B. hasTransliterationRole
    Indicates that an entity participates in a transliteration process with a specific role (e.g., source, target, or agent of transliteration).
  • C. alternativeTransliteration
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • D. hasTransliterationType
    Indicates the type or system of transliteration used to convert text from one writing system into another.
  • E. transliterationName
    Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
  • F. None of above.

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.