Triple

T5335561
Position Surface form Disambiguated ID Type / Status
Subject Sarajevo Canton E123817 entity
Predicate contains P35 FINISHED
Object Vogošća
Vogošća is a town and municipality in Bosnia and Herzegovina, situated just northwest of Sarajevo and known historically for its automotive and industrial production.
 E512945 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: Vogošća | Statement: [Sarajevo Canton, contains, Vogošća]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vogošća
Context triple: [Sarajevo Canton, contains, Vogošća]
  • A. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • D. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • E. Sveta Gora
    Sveta Gora is a prominent pilgrimage hill and religious sanctuary in western Slovenia, known for its historic basilica and panoramic views over the Soča Valley and surrounding Alps.
  • 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: Vogošća
Triple: [Sarajevo Canton, contains, Vogošća]
Generated description
Vogošća is a town and municipality in Bosnia and Herzegovina, situated just northwest of Sarajevo and known historically for its automotive and industrial production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vogošća
Target entity description: Vogošća is a town and municipality in Bosnia and Herzegovina, situated just northwest of Sarajevo and known historically for its automotive and industrial production.
  • A. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • B. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • C. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • D. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • E. Sveta Gora
    Sveta Gora is a prominent pilgrimage hill and religious sanctuary in western Slovenia, known for its historic basilica and panoramic views over the Soča Valley and surrounding Alps.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85af799081909ee60bfbb65149ee completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf194c53a48190b0895bbe9aa2f6f1 completed March 21, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a198418819089b25102733f9191 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.