Triple

T8056460
Position Surface form Disambiguated ID Type / Status
Subject Trnava E188013 entity
Predicate nickname P55 FINISHED
Object Slovak Rome
Slovak Rome is a nickname for the Slovak city of Trnava, known for its numerous historic churches and strong Catholic heritage.
 E707097 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: Slovak Rome | Statement: [Trnava, nickname, Slovak Rome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slovak Rome
Context triple: [Trnava, nickname, Slovak Rome]
  • A. Malacky
    Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
  • B. Pápa
    Pápa is a Hungarian town that hosts a key NATO Strategic Airlift Capability air base, making it an important military and logistics hub in Central Europe.
  • C. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • D. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • E. Slavia
    Slavia is a historic Bulgarian sports club best known for its football team, PFC Slavia Sofia, one of the oldest and most successful in the country.
  • 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: Slovak Rome
Triple: [Trnava, nickname, Slovak Rome]
Generated description
Slovak Rome is a nickname for the Slovak city of Trnava, known for its numerous historic churches and strong Catholic heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slovak Rome
Target entity description: Slovak Rome is a nickname for the Slovak city of Trnava, known for its numerous historic churches and strong Catholic heritage.
  • A. Malacky
    Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
  • B. Pápa
    Pápa is a Hungarian town that hosts a key NATO Strategic Airlift Capability air base, making it an important military and logistics hub in Central Europe.
  • C. Romsa
    Romsa is the Northern Sami name for Tromsø, a major city in northern Norway known as a cultural and economic hub above the Arctic Circle.
  • D. Lovech
    Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
  • E. Slavia
    Slavia is a historic Bulgarian sports club best known for its football team, PFC Slavia Sofia, one of the oldest and most successful in the country.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fa26fb88190b6799bddeb68ed78 completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5725c5308190b2eb565902124b10 completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58ae255c8190a6a2d2f335c6cc3f completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.