Triple

T20672976
Position Surface form Disambiguated ID Type / Status
Subject Slovenian road network E508078 entity
Predicate managedBy P86 FINISHED
Object DARS
DARS is the national company responsible for operating, maintaining, and developing Slovenia’s motorway and expressway network.
 E1444869 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: DARS | Statement: [Slovenian road network, managedBy, DARS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DARS
Context triple: [Slovenian road network, managedBy, DARS]
  • A. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • B. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • C. DRS
    DRS is the official abbreviation for the Roman Catholic Diocese of Rottenburg-Stuttgart in Germany.
  • D. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • E. DAR
    DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
  • 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: DARS
Triple: [Slovenian road network, managedBy, DARS]
Generated description
DARS is the national company responsible for operating, maintaining, and developing Slovenia’s motorway and expressway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DARS
Target entity description: DARS is the national company responsible for operating, maintaining, and developing Slovenia’s motorway and expressway network.
  • A. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • B. DRS
    DRS is the three-letter IATA airport code for Dresden Airport in Dresden, Germany.
  • C. DRS
    DRS is the official abbreviation for the Roman Catholic Diocese of Rottenburg-Stuttgart in Germany.
  • D. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • E. DAR
    DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd66b6b88190a863948cb31c9af7 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.