Triple

T16495631
Position Surface form Disambiguated ID Type / Status
Subject Widzew Łódź E400674 entity
Predicate abbreviation P43 FINISHED
Object RTS
RTS is the commonly used abbreviation for Widzew Łódź, a historic Polish football club based in Łódź.
E1216447 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: RTS | Statement: [Widzew Łódź, abbreviation, RTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTS
Context triple: [Widzew Łódź, abbreviation, RTS]
  • A. RTS
    RTS is a major Russian securities exchange that facilitates trading in stocks, bonds, and other financial instruments.
  • B. RTS
    RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
  • C. RTSI
    RTSI is the commonly used abbreviation for the RTS Index, a benchmark stock market index tracking major companies listed on the Moscow Exchange.
  • D. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • E. RTM
    RTM is the public transport authority that operates buses, trams, and metro services in Marseille and its surrounding metropolitan area in France.
  • 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: RTS
Triple: [Widzew Łódź, abbreviation, RTS]
Generated description
RTS is the commonly used abbreviation for Widzew Łódź, a historic Polish football club based in Łódź.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RTS
Target entity description: RTS is the commonly used abbreviation for Widzew Łódź, a historic Polish football club based in Łódź.
  • A. RTS
    RTS is the Swiss public broadcasting organization that provides French-language radio, television, and digital media services.
  • B. RTS
    RTS is a major Russian securities exchange that facilitates trading in stocks, bonds, and other financial instruments.
  • C. RTSI
    RTSI is the commonly used abbreviation for the RTS Index, a benchmark stock market index tracking major companies listed on the Moscow Exchange.
  • D. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • E. RTM
    RTM is the public transport authority that operates buses, trams, and metro services in Marseille and its surrounding metropolitan area in France.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e332c1c8190888a042d0192233a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005828849481909e95c5822ed6f74d completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a00596390e4819091909806772afa1a completed May 10, 2026, 10:09 a.m.
NED2 Entity disambiguation (via description) batch_6a005a0baef08190b77423fe81a7a11c completed May 10, 2026, 10:12 a.m.
Created at: April 10, 2026, 5:14 a.m.