Triple

T19778941
Position Surface form Disambiguated ID Type / Status
Subject Tampere University E475080 entity
Predicate abbreviation P43 FINISHED
Object TAU
TAU is the commonly used abbreviation for Tampere University, a multidisciplinary higher education and research institution in Tampere, Finland.
 E1394203 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: TAU | Statement: [Tampere University, abbreviation, TAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TAU
Context triple: [Tampere University, abbreviation, TAU]
  • A. TAU
    TAU is a major public research university located in Tel Aviv, Israel, known for its strong programs across science, engineering, humanities, and the arts.
  • B. TAU
    TAU is the station code for Tacuba, an interchange station on Mexico City’s Metro system.
  • C. TAO
    TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
  • D. TAO
    TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
  • E. Tau
    Tau is the 19th letter of the Greek alphabet, commonly used as a symbol in mathematics, physics, and engineering.
  • 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: TAU
Triple: [Tampere University, abbreviation, TAU]
Generated description
TAU is the commonly used abbreviation for Tampere University, a multidisciplinary higher education and research institution in Tampere, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TAU
Target entity description: TAU is the commonly used abbreviation for Tampere University, a multidisciplinary higher education and research institution in Tampere, Finland.
  • A. TAU
    TAU is a major public research university located in Tel Aviv, Israel, known for its strong programs across science, engineering, humanities, and the arts.
  • B. TAU
    TAU is the station code for Tacuba, an interchange station on Mexico City’s Metro system.
  • C. TAO
    TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
  • D. TAO
    TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
  • E. Tau
    Tau is the 19th letter of the Greek alphabet, commonly used as a symbol in mathematics, physics, and engineering.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538230488190b45cd8aaec658f7f completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd78ce00819097b4df2bff211b31 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be65daf88190a0ed2b6f8075141a completed May 16, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_6a07bf1be9648190bac752e8a6ca12bc completed May 16, 2026, 12:49 a.m.
Created at: April 10, 2026, 1:49 p.m.