Triple

T5958486
Position Surface form Disambiguated ID Type / Status
Subject TUM School of Social Sciences and Technology E132574 entity
Predicate abbreviation P43 FINISHED
Object TUM SOT
TUM SOT is the TUM School of Social Sciences and Technology at the Technical University of Munich, focusing on the intersection of social sciences, technology, and policy.
 E557715 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: TUM SOT | Statement: [TUM School of Social Sciences and Technology, abbreviation, TUM SOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TUM SOT
Context triple: [TUM School of Social Sciences and Technology, abbreviation, TUM SOT]
  • A. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • B. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • C. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • D. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • E. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • 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: TUM SOT
Triple: [TUM School of Social Sciences and Technology, abbreviation, TUM SOT]
Generated description
TUM SOT is the TUM School of Social Sciences and Technology at the Technical University of Munich, focusing on the intersection of social sciences, technology, and policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TUM SOT
Target entity description: TUM SOT is the TUM School of Social Sciences and Technology at the Technical University of Munich, focusing on the intersection of social sciences, technology, and policy.
  • A. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • B. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • C. SÖM
    SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
  • D. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • E. UMS
    UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c48d0c81908e794c52fddf2ca2 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e3736c8190b445156f0c1bdf1f completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ec751abc8190a1f6d09e8c47cd59 completed March 23, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69c0ed1871a88190a2894e7e156478d7 completed March 23, 2026, 7:34 a.m.
Created at: March 22, 2026, 4:02 p.m.