Triple

T2804554
Position Surface form Disambiguated ID Type / Status
Subject Silesia E54020 entity
Predicate majorCity P316 FINISHED
Object Bytom E104306 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: Bytom | Statement: [Silesia, majorCity, Bytom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytom
Context triple: [Silesia, majorCity, Bytom]
  • A. Bytom chosen
    Bytom is an industrial city in southern Poland’s Silesian region, known for its mining heritage and historical urban architecture.
  • B. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • C. Leipoa
    Leipoa is a bird genus in the megapode family best known for including the Australian malleefowl, a ground-dwelling species that incubates its eggs in large mounds of decomposing vegetation.
  • D. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • E. Duitama
    Duitama is a Colombian city in the Andean highlands known as an important commercial and transport hub within the Boyacá region.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1525888190b3c04e10043c67d6 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc674217c81908177b088cc824e7b completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.