Triple

T21078981
Position Surface form Disambiguated ID Type / Status
Subject Allgemeines Krankenhaus der Stadt Wien E519310 entity
Predicate shortName P43 FINISHED
Object AKH
AKH is the Vienna General Hospital, one of Europe’s largest and most renowned university hospitals, closely affiliated with the Medical University of Vienna.
 E1464645 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: AKH | Statement: [Allgemeines Krankenhaus der Stadt Wien, shortName, AKH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AKH
Context triple: [Allgemeines Krankenhaus der Stadt Wien, shortName, AKH]
  • A. AKH
    AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
  • B. Akha
    The Akha are an indigenous hill tribe of Southeast Asia known for their distinct traditional dress, rich oral culture, and villages in the mountainous border regions of countries such as Thailand, Laos, Myanmar, and China.
  • C. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • D. AKX
    AKX is the ICAO airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • E. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • 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: AKH
Triple: [Allgemeines Krankenhaus der Stadt Wien, shortName, AKH]
Generated description
AKH is the Vienna General Hospital, one of Europe’s largest and most renowned university hospitals, closely affiliated with the Medical University of Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AKH
Target entity description: AKH is the Vienna General Hospital, one of Europe’s largest and most renowned university hospitals, closely affiliated with the Medical University of Vienna.
  • A. AKH
    AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
  • B. Akha
    The Akha are an indigenous hill tribe of Southeast Asia known for their distinct traditional dress, rich oral culture, and villages in the mountainous border regions of countries such as Thailand, Laos, Myanmar, and China.
  • C. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • D. AKX
    AKX is the ICAO airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • E. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d939e08190a37d7b7cc1872ad5 completed April 21, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09507a4a048190beda6f1af1b5eb67 completed May 17, 2026, 5:22 a.m.
NEDg Description generation batch_6a0951a8c31c8190b77554fa0c8a0d80 completed May 17, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a09526fc3c4819098fcdfa105b840bd completed May 17, 2026, 5:30 a.m.
Created at: April 16, 2026, 2:49 p.m.