Triple

T5029964
Position Surface form Disambiguated ID Type / Status
Subject Pitești E113270 entity
Predicate roadConnection P385 FINISHED
Object DN73
DN73 is a major national road in Romania that connects the city of Pitești with Brașov through the Southern Carpathians.
 E488029 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: DN73 | Statement: [Pitești, roadConnection, DN73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DN73
Context triple: [Pitești, roadConnection, DN73]
  • A. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
  • B. M73
    M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
  • C. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • D. NY-73
    NY-73 is a scenic state highway in New York's Adirondack region known for connecting Lake Placid to the Adirondack Northway and offering access to High Peaks hiking areas.
  • E. DKNVS
    DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
  • 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: DN73
Triple: [Pitești, roadConnection, DN73]
Generated description
DN73 is a major national road in Romania that connects the city of Pitești with Brașov through the Southern Carpathians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DN73
Target entity description: DN73 is a major national road in Romania that connects the city of Pitești with Brașov through the Southern Carpathians.
  • A. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
  • B. M73
    M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
  • C. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • D. NY-73
    NY-73 is a scenic state highway in New York's Adirondack region known for connecting Lake Placid to the Adirondack Northway and offering access to High Peaks hiking areas.
  • E. DKNVS
    DKNVS is the abbreviation for the Royal Norwegian Society of Sciences and Letters, one of Norway’s oldest and most prestigious learned societies dedicated to the advancement of science and scholarship.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd739099a0819099c6201d4e1c5ee2 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9e13855081908c3adc9c5c9f3b2d completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e83b6e48190b56eb02fce41bbf0 completed March 21, 2026, 1:34 p.m.
Created at: March 20, 2026, 1:36 p.m.