Triple

T12729294
Position Surface form Disambiguated ID Type / Status
Subject Cieszyn E304189 entity
Predicate hasFeature P182 FINISHED
Object Piast Tower
Piast Tower is a historic medieval defensive tower and prominent landmark in the town of Cieszyn in southern Poland.
E1001081 NE FINISHED

How this triple was built (4 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: Piast Tower | Statement: [Cieszyn, hasFeature, Piast Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piast Tower
Context triple: [Cieszyn, hasFeature, Piast Tower]
  • A. Piast Tower
    Piast Tower is a historic medieval defensive tower in Opole, Poland, and one of the city’s most recognizable architectural symbols.
  • B. Granovitaya Tower
    Granovitaya Tower is a historic defensive tower that forms part of the medieval Kolomna Kremlin fortress in Russia.
  • C. Renaissance Tower
    Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
  • D. Mihulka Tower
    Mihulka Tower is a historic fortification tower in Prague, Czech Republic, that once formed part of the city’s medieval defensive system and later served various military and scientific purposes.
  • E. Sviblova Tower
    Sviblova Tower is one of the historic defensive towers of the Moscow Kremlin, contributing to the fortress’s medieval fortification system and architectural ensemble.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Piast Tower
Triple: [Cieszyn, hasFeature, Piast Tower]
Generated description
Piast Tower is a historic medieval defensive tower and prominent landmark in the town of Cieszyn in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piast Tower
Target entity description: Piast Tower is a historic medieval defensive tower and prominent landmark in the town of Cieszyn in southern Poland.
  • A. Piast Tower
    Piast Tower is a historic medieval defensive tower in Opole, Poland, and one of the city’s most recognizable architectural symbols.
  • B. Granovitaya Tower
    Granovitaya Tower is a historic defensive tower that forms part of the medieval Kolomna Kremlin fortress in Russia.
  • C. Renaissance Tower
    Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
  • D. Mihulka Tower
    Mihulka Tower is a historic fortification tower in Prague, Czech Republic, that once formed part of the city’s medieval defensive system and later served various military and scientific purposes.
  • E. Sviblova Tower
    Sviblova Tower is one of the historic defensive towers of the Moscow Kremlin, contributing to the fortress’s medieval fortification system and architectural ensemble.
  • F. None of above. chosen

Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8a4b7c8190a514b623a7364fd7 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d663fd08190a00b30a7ff260c70 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.