Triple

T13182172
Position Surface form Disambiguated ID Type / Status
Subject Cres E313755 entity
Predicate hasSettlement P1068 FINISHED
Object Lubenice
Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
 E1102015 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: Lubenice | Statement: [Cres, hasSettlement, Lubenice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lubenice
Context triple: [Cres, hasSettlement, Lubenice]
  • A. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • B. 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.
  • C. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • D. Libeň
    Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
  • E. Lednice
    Lednice is a historic village in the South Moravian Region of the Czech Republic, renowned for its neo-Gothic chateau, extensive landscaped gardens, and role as a centerpiece of a UNESCO-listed cultural landscape.
  • 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: Lubenice
Triple: [Cres, hasSettlement, Lubenice]
Generated description
Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lubenice
Target entity description: Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
  • A. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • B. 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.
  • C. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • D. Libeň
    Libeň is a district in Prague known for its mix of residential areas, industrial heritage, and major venues such as the O2 Arena.
  • E. Lednice
    Lednice is a historic village in the South Moravian Region of the Czech Republic, renowned for its neo-Gothic chateau, extensive landscaped gardens, and role as a centerpiece of a UNESCO-listed cultural landscape.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d6fde508190865a8e3e391fdf5e completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f53e9e08190b471e1698390f0c8 completed May 8, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd6fd126a881908baef34c1c013fe1 completed May 8, 2026, 5:08 a.m.
Created at: April 9, 2026, 9:15 p.m.