Triple

T22244979
Position Surface form Disambiguated ID Type / Status
Subject Tartan Army Sunshine Appeal E549817 entity
Predicate hasAbbreviation P43 FINISHED
Object TASA
TASA is a charitable organization associated with Scotland’s Tartan Army football supporters, known for raising funds and supporting good causes in countries where the national team plays.
 E1526674 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: TASA | Statement: [Tartan Army Sunshine Appeal, hasAbbreviation, TASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TASA
Context triple: [Tartan Army Sunshine Appeal, hasAbbreviation, TASA]
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TAS
    TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
  • C. TAZ
    TAZ is the IATA airport code assigned to Dashoguz International Airport in Turkmenistan.
  • D. Tasenet
    Tasenet is the ancient Egyptian name for the city later known as Esna, a significant religious and trading center on the west bank of the Nile.
  • E. TASE
    TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
  • 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: TASA
Triple: [Tartan Army Sunshine Appeal, hasAbbreviation, TASA]
Generated description
TASA is a charitable organization associated with Scotland’s Tartan Army football supporters, known for raising funds and supporting good causes in countries where the national team plays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TASA
Target entity description: TASA is a charitable organization associated with Scotland’s Tartan Army football supporters, known for raising funds and supporting good causes in countries where the national team plays.
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TAS
    TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
  • C. TAZ
    TAZ is the IATA airport code assigned to Dashoguz International Airport in Turkmenistan.
  • D. Tasenet
    Tasenet is the ancient Egyptian name for the city later known as Esna, a significant religious and trading center on the west bank of the Nile.
  • E. TASE
    TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132170e5081909b9dbb204abf2a45 completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65c85548190a2650674379d8358 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab749d9cc8190bd9d1a37a9243657 completed May 18, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7ca94308190a327779ffa509d59 completed May 18, 2026, 6:55 a.m.
Created at: April 16, 2026, 8:38 p.m.