Triple

T1577695
Position Surface form Disambiguated ID Type / Status
Subject Podgorica E33689 entity
Predicate roadNetwork P385 FINISHED
Object E80
E80 is a major European route that forms part of the international road network connecting Podgorica with other key cities across the continent.
 E178612 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: E80 | Statement: [Podgorica, roadNetwork, E80]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E80
Context triple: [Podgorica, roadNetwork, E80]
  • A. 190E
    The Mercedes-Benz 190E is a compact executive sedan from the 1980s and early 1990s, renowned for its advanced engineering, build quality, and motorsport-bred performance variants like the 190E 2.3-16 and 2.5-16.
  • B. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • C. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • E. Z 8800 EMU
    The Z 8800 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services in the Paris 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: E80
Triple: [Podgorica, roadNetwork, E80]
Generated description
E80 is a major European route that forms part of the international road network connecting Podgorica with other key cities across the continent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E80
Target entity description: E80 is a major European route that forms part of the international road network connecting Podgorica with other key cities across the continent.
  • A. 190E
    The Mercedes-Benz 190E is a compact executive sedan from the 1980s and early 1990s, renowned for its advanced engineering, build quality, and motorsport-bred performance variants like the 190E 2.3-16 and 2.5-16.
  • B. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • C. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • D. C-8
    C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • E. Z 8800 EMU
    The Z 8800 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services in the Paris 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_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_69ad402e1cc48190bb69628bc63d6f4c completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40e7db808190a94dd9932ea8d6c4 completed March 8, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69ad417c2ff48190af8e62a015b45c6b completed March 8, 2026, 9:29 a.m.
Created at: March 4, 2026, 7:27 p.m.