Triple

T14354847
Position Surface form Disambiguated ID Type / Status
Subject TUS Gaelic Grounds E355944 entity
Predicate hasAbbreviation P43 FINISHED
Object TUS
TUS is the abbreviation for the TUS Gaelic Grounds, a prominent Gaelic games stadium in Limerick, Ireland.
 E1096441 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: TUS | Statement: [TUS Gaelic Grounds, hasAbbreviation, TUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TUS
Context triple: [TUS Gaelic Grounds, hasAbbreviation, TUS]
  • A. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • B. 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.
  • C. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • D. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • E. TUK
    TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
  • 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: TUS
Triple: [TUS Gaelic Grounds, hasAbbreviation, TUS]
Generated description
TUS is the abbreviation for the TUS Gaelic Grounds, a prominent Gaelic games stadium in Limerick, Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TUS
Target entity description: TUS is the abbreviation for the TUS Gaelic Grounds, a prominent Gaelic games stadium in Limerick, Ireland.
  • A. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • B. 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.
  • C. Tus
    Tus is a supporting character in the video game "Prince of Persia: The Sands of Time," serving as one of the Prince’s royal relatives and a military leader.
  • D. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • E. TUK
    TUK is the abbreviation for the Technical University of Kaiserslautern, a German public research university known for its strong engineering and science programs.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c44ff4c8190bbcc7a34b98ac330 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd512c32a081908e516c51d846a2c0 completed May 8, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69fd51e9a43c8190965bf0c7b5bbab26 completed May 8, 2026, 3 a.m.
Created at: April 10, 2026, 1:15 a.m.