Triple

T6650098
Position Surface form Disambiguated ID Type / Status
Subject Department of National Heritage E150797 entity
Predicate shortName P43 FINISHED
Object 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.
E609745 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: DNH | Statement: [Department of National Heritage, shortName, DNH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNH
Context triple: [Department of National Heritage, shortName, DNH]
  • A. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • B. 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.
  • C. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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
  • 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: DNH
Triple: [Department of National Heritage, shortName, DNH]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DNH
Target entity description: 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.
  • A. DHN
    DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
  • B. 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.
  • C. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • D. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • E. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b04408508190a87a669b32364368 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef91eb08190a00ae027c21b08bf completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f1ed97248190ab2253b3b2457f4f completed March 27, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69c6f2c18c0081908958b7ffeed7a787 completed March 27, 2026, 9:12 p.m.
Created at: March 27, 2026, 2:01 p.m.