Triple

T16784605
Position Surface form Disambiguated ID Type / Status
Subject Rădăuți E407938 entity
Predicate roadConnection P385 FINISHED
Object DN2H
DN2H is a national road in Romania that serves as a regional connector in the Rădăuți area of Suceava County.
 E1234288 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: DN2H | Statement: [Rădăuți, roadConnection, DN2H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DN2H
Context triple: [Rădăuți, roadConnection, DN2H]
  • A. 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.
  • B. DNH
    DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
  • C. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • D. D.N.H.
    D.N.H. is the standard legal abbreviation for the United States District Court for the District of New Hampshire, a federal trial court within the First Circuit.
  • E. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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: DN2H
Triple: [Rădăuți, roadConnection, DN2H]
Generated description
DN2H is a national road in Romania that serves as a regional connector in the Rădăuți area of Suceava County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DN2H
Target entity description: DN2H is a national road in Romania that serves as a regional connector in the Rădăuți area of Suceava County.
  • A. 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.
  • B. DNH
    DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
  • C. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • D. D.N.H.
    D.N.H. is the standard legal abbreviation for the United States District Court for the District of New Hampshire, a federal trial court within the First Circuit.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21996cc81909deb88545af7079f completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab056dc88190aeb9e135ae955125 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00abe78194819098a2867c7cb5b8b2 completed May 10, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00afddb580819090e6b4e9dd4c1545 completed May 10, 2026, 4:18 p.m.
Created at: April 10, 2026, 5:22 a.m.