Triple

T1577660
Position Surface form Disambiguated ID Type / Status
Subject Podgorica E33689 entity
Predicate river P165 FINISHED
Object Ribnica
Ribnica is a small river in Montenegro that flows through the capital city of Podgorica and is known for its picturesque confluence with the Morača River.
 E183738 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: Ribnica | Statement: [Podgorica, river, Ribnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ribnica
Context triple: [Podgorica, river, Ribnica]
  • A. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • B. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • C. Pilica River
    The Pilica River is a significant river in central Poland known for its natural landscapes, reservoirs, and role in regional recreation and ecology.
  • D. Ljubljanica
    Ljubljanica is a river in central Slovenia that flows through the capital city of Ljubljana and is known for its picturesque bridges and historic waterfront.
  • E. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • 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: Ribnica
Triple: [Podgorica, river, Ribnica]
Generated description
Ribnica is a small river in Montenegro that flows through the capital city of Podgorica and is known for its picturesque confluence with the Morača River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ribnica
Target entity description: Ribnica is a small river in Montenegro that flows through the capital city of Podgorica and is known for its picturesque confluence with the Morača River.
  • A. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • B. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • C. Pilica River
    The Pilica River is a significant river in central Poland known for its natural landscapes, reservoirs, and role in regional recreation and ecology.
  • D. Ljubljanica
    Ljubljanica is a river in central Slovenia that flows through the capital city of Ljubljana and is known for its picturesque bridges and historic waterfront.
  • E. Savski Venac
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d571f081908acec43ff2ef112d completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58bb94888190bcf5ea49e7638cb4 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad59364b048190bd6d4a671c0d635e completed March 8, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_69ad59955f108190a02fbc32f0932321 completed March 8, 2026, 11:12 a.m.
Created at: March 4, 2026, 7:27 p.m.