Triple

T15086290
Position Surface form Disambiguated ID Type / Status
Subject Torino F.C. E360280 entity
Predicate hasAbbreviation P43 FINISHED
Object TOR
TOR is the common abbreviation for Torino F.C., a professional football club based in Turin, Italy.
 E1136261 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: [Torino F.C., hasAbbreviation, TOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOR
Context triple: [Torino F.C., hasAbbreviation, TOR]
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. TOR
    TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
  • C. TER
    TER is the IATA airport code for Lajes Airport on Terceira Island in the Azores, Portugal.
  • D. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • E. 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.
  • 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: [Torino F.C., hasAbbreviation, TOR]
Generated description
TOR is the common abbreviation for Torino F.C., a professional football club based in Turin, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOR
Target entity description: TOR is the common abbreviation for Torino F.C., a professional football club based in Turin, Italy.
  • A. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • B. TOR
    TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
  • C. TER
    TER is a network of regional express trains in France that provides local passenger rail services across various regions.
  • D. TER
    TER is the IATA airport code for Lajes Airport on Terceira Island in the Azores, Portugal.
  • E. 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.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae19d0f0819089f330271c9fc6f7 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf7de4d48190982f094f5d8785f9 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feaffa78108190b18dd24dee9c5d7f completed May 9, 2026, 3:54 a.m.
Created at: April 10, 2026, 3:03 a.m.