Triple

T17550570
Position Surface form Disambiguated ID Type / Status
Subject Montecatini Terme E427449 entity
Predicate twinnedWith P1072 FINISHED
Object Luhacovice
Luhacovice is a Czech spa town renowned for its mineral springs, therapeutic treatments, and distinctive spa architecture.
E1279205 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: Luhacovice | Statement: [Montecatini Terme, twinnedWith, Luhacovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luhacovice
Context triple: [Montecatini Terme, twinnedWith, Luhacovice]
  • A. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • B. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • C. Dolní Lukavice
    Dolní Lukavice is a municipality and village in the Plzeň Region of the Czech Republic, known for its historic chateau where composer Joseph Haydn once worked.
  • D. Čakovice
    Čakovice is a district in the northeastern part of Prague, Czech Republic, known for its residential character and historical sugar refinery.
  • E. Blovice
    Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
  • 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: Luhacovice
Triple: [Montecatini Terme, twinnedWith, Luhacovice]
Generated description
Luhacovice is a Czech spa town renowned for its mineral springs, therapeutic treatments, and distinctive spa architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luhacovice
Target entity description: Luhacovice is a Czech spa town renowned for its mineral springs, therapeutic treatments, and distinctive spa architecture.
  • A. Lovosice
    Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
  • B. Boskovice
    Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
  • C. Dolní Lukavice
    Dolní Lukavice is a municipality and village in the Plzeň Region of the Czech Republic, known for its historic chateau where composer Joseph Haydn once worked.
  • D. Čakovice
    Čakovice is a district in the northeastern part of Prague, Czech Republic, known for its residential character and historical sugar refinery.
  • E. Blovice
    Blovice is a small town in the Czech Republic that serves as a local administrative and service center in the Plzeň Region.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a8767a08190bcdc8193b2b44127 completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020c10d1bc81909b0f04337df36be8 completed May 11, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_6a020cefce4c8190a92f543533e4b801 completed May 11, 2026, 5:08 p.m.
Created at: April 10, 2026, 5:50 a.m.