Triple

T5138584
Position Surface form Disambiguated ID Type / Status
Subject Piekar E115888 entity
Predicate hasVariant P455 FINISHED
Object Pekar E118666 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: Pekar | Statement: [Piekar, hasVariant, Pekar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekar
Context triple: [Piekar, hasVariant, 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. Peki'in
    Peki'in is an ancient village in northern Israel known for its continuous Jewish presence over centuries and its historical, religious, and archaeological significance.
  • D. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • E. Pegu
    Pegu is an important historical city in Lower Myanmar that once served as the political and cultural center of the Mon people and a major hub of regional trade and Buddhism.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.