Triple

T3206811
Position Surface form Disambiguated ID Type / Status
Subject Kings Guard Gaming E67180 entity
Predicate hasAbbreviation P43 FINISHED
Object KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
 E335810 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: KGG | Statement: [Kings Guard Gaming, hasAbbreviation, KGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KGG
Context triple: [Kings Guard Gaming, hasAbbreviation, KGG]
  • A. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • B. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • C. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • D. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • E. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • 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: KGG
Triple: [Kings Guard Gaming, hasAbbreviation, KGG]
Generated description
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KGG
Target entity description: KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
  • A. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • B. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • C. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • D. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • E. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa56c21c8190b6aa7c56cb15ad56 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24cb0c5f0819083ea589ded12ef3b completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d2ce888819087cc7c3f5db0e859 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.