Triple

T16749460
Position Surface form Disambiguated ID Type / Status
Subject Mehedinți County E407034 entity
Predicate hasMajorRoad P385 FINISHED
Object DN56
DN56 is a national road in southwestern Romania that connects Mehedinți County with other regions along the Danube corridor.
 E1232569 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: DN56 | Statement: [Mehedinți County, hasMajorRoad, DN56]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DN56
Context triple: [Mehedinți County, hasMajorRoad, DN56]
  • A. DN7
    DN7 is a major national road in Romania that forms part of a key transport corridor linking Bucharest with Pitești and onward toward western Romania and the Hungarian border.
  • B. DN2
    DN2 is a major national road in Romania that forms part of the European route E85, connecting Bucharest with northeastern regions of the country.
  • C. DN73
    DN73 is a major national road in Romania that connects the city of Pitești with Brașov through the Southern Carpathians.
  • D. DS567
    DS567 is a World Trade Organization dispute case concerning Saudi Arabia’s compliance with its obligations to protect intellectual property rights.
  • E. NR54
    NR54 is the abbreviated designation for South Africa’s National Route 54, a regional highway connecting towns in the Free State and Mpumalanga provinces.
  • 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: DN56
Triple: [Mehedinți County, hasMajorRoad, DN56]
Generated description
DN56 is a national road in southwestern Romania that connects Mehedinți County with other regions along the Danube corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DN56
Target entity description: DN56 is a national road in southwestern Romania that connects Mehedinți County with other regions along the Danube corridor.
  • A. DN7
    DN7 is a major national road in Romania that forms part of a key transport corridor linking Bucharest with Pitești and onward toward western Romania and the Hungarian border.
  • B. DN2
    DN2 is a major national road in Romania that forms part of the European route E85, connecting Bucharest with northeastern regions of the country.
  • C. DN73
    DN73 is a major national road in Romania that connects the city of Pitești with Brașov through the Southern Carpathians.
  • D. DS567
    DS567 is a World Trade Organization dispute case concerning Saudi Arabia’s compliance with its obligations to protect intellectual property rights.
  • E. NR54
    NR54 is the abbreviated designation for South Africa’s National Route 54, a regional highway connecting towns in the Free State and Mpumalanga provinces.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2532ac81908e5ee5148e35f92e completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a6b2d7b08190841de0e849eac604 completed May 10, 2026, 3:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00a761530481909b27b6844d2324f0 completed May 10, 2026, 3:42 p.m.
Created at: April 10, 2026, 5:21 a.m.