Triple

T19924140
Position Surface form Disambiguated ID Type / Status
Subject Dubrovnik-Neretva County E478879 entity
Predicate contains P35 FINISHED
Object Slivno
Slivno is a small municipality in southern Croatia known for its coastal and rural landscapes within the Dubrovnik-Neretva region.
E1402192 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: Slivno | Statement: [Dubrovnik-Neretva County, contains, Slivno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slivno
Context triple: [Dubrovnik-Neretva County, contains, Slivno]
  • A. Slivo Pole
    Slivo Pole is a small town in northeastern Bulgaria that serves as a local administrative and community center within Ruse Province.
  • B. Vrosina
    Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
  • C. Mlava
    Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
  • D. Vejprnice
    Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
  • E. Jajinci
    Jajinci is a suburban neighborhood and memorial park area in Belgrade, Serbia, known for being the site of mass executions during World War II.
  • 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: Slivno
Triple: [Dubrovnik-Neretva County, contains, Slivno]
Generated description
Slivno is a small municipality in southern Croatia known for its coastal and rural landscapes within the Dubrovnik-Neretva region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slivno
Target entity description: Slivno is a small municipality in southern Croatia known for its coastal and rural landscapes within the Dubrovnik-Neretva region.
  • A. Slivo Pole
    Slivo Pole is a small town in northeastern Bulgaria that serves as a local administrative and community center within Ruse Province.
  • B. Vrosina
    Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
  • C. Mlava
    Mlava is a river in eastern Serbia that flows through the Braničevo region before joining the Danube.
  • D. Vejprnice
    Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
  • E. Jajinci
    Jajinci is a suburban neighborhood and memorial park area in Belgrade, Serbia, known for being the site of mass executions during World War II.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c88c548190b9b9eccbdd07d977 completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea56ae608190815a66c89dadcb9e completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07f2bc1474819092902f88b3309e0d completed May 16, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a07f376f5388190989a0460528945df completed May 16, 2026, 4:32 a.m.
Created at: April 10, 2026, 1:53 p.m.