Triple

T2824100
Position Surface form Disambiguated ID Type / Status
Subject Andrzej Witos E54878 entity
Predicate familyName P18 FINISHED
Object Witos E204499 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: Witos | Statement: [Andrzej Witos, familyName, Witos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witos
Context triple: [Andrzej Witos, familyName, Witos]
  • A. Witos chosen
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • D. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde91487881909989c08bbf76f0da completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcead12588190bfbb2c9e93b05e0d completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.