Triple

T17978663
Position Surface form Disambiguated ID Type / Status
Subject Department of Textile and Apparel, Technology and Management E449542 entity
Predicate abbreviation P43 FINISHED
Object TATM
TATM is an academic department focused on the study and advancement of textile and apparel technologies, business, and management practices.
 E1298735 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: TATM | Statement: [Department of Textile and Apparel, Technology and Management, abbreviation, TATM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TATM
Context triple: [Department of Textile and Apparel, Technology and Management, abbreviation, TATM]
  • A. TATN
    TATN is the stock ticker symbol for Tatneft, a major Russian oil and gas company.
  • B. TAT
    TAT is the National Rail station code for Tattenham Corner railway station in Surrey, England.
  • C. TAT
    TAT, short for Transcontinental Air Transport, was an early American airline that pioneered coast-to-coast passenger service in the late 1920s by combining rail and air travel.
  • D. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • E. TAM
    TAM is a Georgian aerospace company based in Tbilisi that designs, manufactures, and services aircraft and related aviation components.
  • 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: TATM
Triple: [Department of Textile and Apparel, Technology and Management, abbreviation, TATM]
Generated description
TATM is an academic department focused on the study and advancement of textile and apparel technologies, business, and management practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TATM
Target entity description: TATM is an academic department focused on the study and advancement of textile and apparel technologies, business, and management practices.
  • A. TATN
    TATN is the stock ticker symbol for Tatneft, a major Russian oil and gas company.
  • B. TAT
    TAT is the National Rail station code for Tattenham Corner railway station in Surrey, England.
  • C. TAT
    TAT, short for Transcontinental Air Transport, was an early American airline that pioneered coast-to-coast passenger service in the late 1920s by combining rail and air travel.
  • D. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • E. TAM
    TAM is a Georgian aerospace company based in Tbilisi that designs, manufactures, and services aircraft and related aviation components.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b201d1508190a9d6abbfd04bdcae completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a033019f3ec8190b6781b71ee2aed3b completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a03313620f081909926dea3fc0dd30f completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a03322540f48190a2957dba3d902003 completed May 12, 2026, 1:59 p.m.
Created at: April 10, 2026, 10:22 a.m.