Triple

T5284432
Position Surface form Disambiguated ID Type / Status
Subject Duale Hochschule Gera-Eisenach E119580 entity
Predicate abbreviation P43 FINISHED
Object DHGE
DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
 E508429 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: DHGE | Statement: [Duale Hochschule Gera-Eisenach, abbreviation, DHGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DHGE
Context triple: [Duale Hochschule Gera-Eisenach, abbreviation, DHGE]
  • A. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • B. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • C. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • D. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • E. 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.
  • 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: DHGE
Triple: [Duale Hochschule Gera-Eisenach, abbreviation, DHGE]
Generated description
DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DHGE
Target entity description: DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
  • A. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • B. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • C. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • D. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • E. 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.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84d693288190b437955e40ad6abb completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e6200881908da623e8548ec051 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf09d1b9088190a7bf560c8d22d225 completed March 21, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69bf0a77e3b88190904c5ed6ee48ee71 completed March 21, 2026, 9:15 p.m.
Created at: March 20, 2026, 1:52 p.m.