Triple

T14054079
Position Surface form Disambiguated ID Type / Status
Subject Hochschule für Musik und Theater München E338166 entity
Predicate shortName P43 FINISHED
Object HMTM
HMTM is a renowned German conservatory in Munich specializing in higher education for music and performing arts.
 E1078913 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: HMTM | Statement: [Hochschule für Musik und Theater München, shortName, HMTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HMTM
Context triple: [Hochschule für Musik und Theater München, shortName, HMTM]
  • A. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • B. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • D. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • E. MTM
    MTM is a music-focused project or group associated with the artist Mio, likely involved in collaborative releases or performances.
  • 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: HMTM
Triple: [Hochschule für Musik und Theater München, shortName, HMTM]
Generated description
HMTM is a renowned German conservatory in Munich specializing in higher education for music and performing arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HMTM
Target entity description: HMTM is a renowned German conservatory in Munich specializing in higher education for music and performing arts.
  • A. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • B. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • C. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • D. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • E. MTM
    MTM is a music-focused project or group associated with the artist Mio, likely involved in collaborative releases or performances.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc91405888190ba808b2051f57f19 completed May 7, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_69fcc9be3f448190b2edd96c4159f923 completed May 7, 2026, 5:19 p.m.
Created at: April 9, 2026, 10:20 p.m.