Triple

T2584186
Position Surface form Disambiguated ID Type / Status
Subject Kunsthistorisches Museum E57159 entity
Predicate shortName P43 FINISHED
Object KHM
KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
 E279702 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: KHM | Statement: [Kunsthistorisches Museum, shortName, KHM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHM
Context triple: [Kunsthistorisches Museum, shortName, KHM]
  • A. KNM
    KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
  • B. KMH
    KMH is the Royal College of Music in Stockholm, a leading Swedish institution for higher education in music performance, composition, and pedagogy.
  • C. Khasian
    Khasian is a branch of the Austroasiatic language family comprising several related languages spoken primarily in the northeastern region of India, especially in Meghalaya.
  • D. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • E. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • 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: KHM
Triple: [Kunsthistorisches Museum, shortName, KHM]
Generated description
KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHM
Target entity description: KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
  • A. KNM
    KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
  • B. KMH
    KMH is the Royal College of Music in Stockholm, a leading Swedish institution for higher education in music performance, composition, and pedagogy.
  • C. Khasian
    Khasian is a branch of the Austroasiatic language family comprising several related languages spoken primarily in the northeastern region of India, especially in Meghalaya.
  • D. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • E. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cb33a08190a3eae1a95e1b63bf completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657f39dc8190971e0ad7a5396257 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af688f1ca88190acb81cbe148bed68 completed March 10, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69af6901c1fc8190ab469bb5cf222724 completed March 10, 2026, 12:42 a.m.
Created at: March 6, 2026, 9:49 p.m.