Triple

T3897321
Position Surface form Disambiguated ID Type / Status
Subject Polish defense industry E90401 entity
Predicate hasKeyActor P30416 FINISHED
Object Huta Stalowa Wola E102995 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: Huta Stalowa Wola | Statement: [Polish defense industry, hasKeyActor, Huta Stalowa Wola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huta Stalowa Wola
Context triple: [Polish defense industry, hasKeyActor, Huta Stalowa Wola]
  • A. Huta Stalowa Wola chosen
    Huta Stalowa Wola is a major Polish defense and heavy industry manufacturer known for producing artillery systems and armored vehicles.
  • B. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • C. Jaworzyna Krynicka
    Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
  • D. Bochnia
    Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
  • E. Staszów
    Staszów is a historic town in south-central Poland known for its medieval origins and location within the Świętokrzyskie 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd48b208190afaa62975805d087 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9e3db881909e865e52a842b1be completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.