Triple

T7671174
Position Surface form Disambiguated ID Type / Status
Subject Dolní Vítkovice industrial complex E173749 entity
Predicate hasPart P35 FINISHED
Object U6 Small World of Technology
U6 Small World of Technology is an interactive science and technology museum located within the Dolní Vítkovice industrial complex in Ostrava, Czech Republic.
 E681115 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: U6 Small World of Technology | Statement: [Dolní Vítkovice industrial complex, hasPart, U6 Small World of Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U6 Small World of Technology
Context triple: [Dolní Vítkovice industrial complex, hasPart, U6 Small World of Technology]
  • A. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • B. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • C. U5
    U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
  • D. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • E. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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: U6 Small World of Technology
Triple: [Dolní Vítkovice industrial complex, hasPart, U6 Small World of Technology]
Generated description
U6 Small World of Technology is an interactive science and technology museum located within the Dolní Vítkovice industrial complex in Ostrava, Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U6 Small World of Technology
Target entity description: U6 Small World of Technology is an interactive science and technology museum located within the Dolní Vítkovice industrial complex in Ostrava, Czech Republic.
  • A. U6
    U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
  • B. U6
    U6 is the IATA airline designator assigned to Ural Airlines, a Russian commercial air carrier.
  • C. U5
    U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
  • D. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • E. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701dd3c808190990e07ced94b3297 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a229dd348190b9a781b4d34d7b5b completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.