Triple

T1824445
Position Surface form Disambiguated ID Type / Status
Subject FC Torpedo Kutaisi E40619 entity
Predicate code P1537 FINISHED
Object TOR
TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
 E204199 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: TOR | Statement: [FC Torpedo Kutaisi, code, TOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOR
Context triple: [FC Torpedo Kutaisi, code, TOR]
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • C. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • D. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • E. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • 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: TOR
Triple: [FC Torpedo Kutaisi, code, TOR]
Generated description
TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOR
Target entity description: TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • C. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • D. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • E. TW
    TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662e0308819081c75ebbdfbf491e completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0bf37ac8190b9cbbc5454061e75 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc197f78481909f848e2ee2741e8d completed March 8, 2026, 6:36 p.m.
Created at: March 4, 2026, 7:32 p.m.