Triple

T5096521
Position Surface form Disambiguated ID Type / Status
Subject Bratislava Region E114877 entity
Predicate hasTown P847 FINISHED
Object Stupava
Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
 E494990 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: Stupava | Statement: [Bratislava Region, hasTown, Stupava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stupava
Context triple: [Bratislava Region, hasTown, Stupava]
  • A. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • B. Stannern
    Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
  • C. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • D. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Stupava
Triple: [Bratislava Region, hasTown, Stupava]
Generated description
Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stupava
Target entity description: Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
  • A. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • B. Stannern
    Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
  • C. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • D. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75652a8081908386718f1fdb1de3 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba80aee081908498cbe9d4f2eaa7 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebce93dc48190a43fca47cb5c0bcb completed March 21, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69bebe0086bc81908aa38f32952b8902 completed March 21, 2026, 3:49 p.m.
Created at: March 20, 2026, 1:40 p.m.