Triple

T9685933
Position Surface form Disambiguated ID Type / Status
Subject University of Debrecen E234406 entity
Predicate hasAbbreviation P43 FINISHED
Object DE
DE is the commonly used abbreviation for the University of Debrecen, a major Hungarian institution of higher education and research.
E815363 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: DE | Statement: [University of Debrecen, hasAbbreviation, DE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DE
Context triple: [University of Debrecen, hasAbbreviation, DE]
  • A. DE
    DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
  • B. DE
    DE is the United States Postal Service abbreviation for the state of Delaware.
  • C. DEU
    DEU is the three-letter ISO 3166-1 alpha-3 country code representing Germany.
  • D. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • E. DE-BY
    DE-BY is the ISO 3166-2 regional code for the German federal state of Bavaria.
  • 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: DE
Triple: [University of Debrecen, hasAbbreviation, DE]
Generated description
DE is the commonly used abbreviation for the University of Debrecen, a major Hungarian institution of higher education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DE
Target entity description: DE is the commonly used abbreviation for the University of Debrecen, a major Hungarian institution of higher education and research.
  • A. DE
    DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
  • B. DE
    DE is the United States Postal Service abbreviation for the state of Delaware.
  • C. DEU
    DEU is the three-letter ISO 3166-1 alpha-3 country code representing Germany.
  • D. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • E. DE-BY
    DE-BY is the ISO 3166-2 regional code for the German federal state of Bavaria.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.