Triple

T13468600
Position Surface form Disambiguated ID Type / Status
Subject Radom Voivodeship E311569 entity
Predicate containsCity P294 FINISHED
Object Grójec E1133884 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: Grójec | Statement: [Radom Voivodeship, containsCity, Grójec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grójec
Context triple: [Radom Voivodeship, containsCity, Grójec]
  • A. Grójec chosen
    Grójec is a town in east-central Poland known for its apple-growing region and proximity to Warsaw.
  • B. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • D. Grajewo
    Grajewo is a town in northeastern Poland known as a local administrative and industrial center near the border with the Warmian-Masurian region.
  • E. Żoliborz
    Żoliborz is a residential district in northern Warsaw, Poland, known for its interwar modernist architecture, green spaces, and quiet, upscale character.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb445a48190ba3dafb1f076ac83 completed May 10, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:42 p.m.