Triple

T17325782
Position Surface form Disambiguated ID Type / Status
Subject Tup E420682 entity
Predicate ISO3166-1Alpha2CountryCode P19525 FINISHED
Object KG
KG is the ISO 3166-1 alpha-2 country code for Kyrgyzstan, a landlocked nation in Central Asia.
E1263480 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: KG | Statement: [Tup, ISO3166-1Alpha2CountryCode, KG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KG
Context triple: [Tup, ISO3166-1Alpha2CountryCode, KG]
  • 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 vehicle registration code used on license plates for the Bad Kissingen district in Bavaria, Germany.
  • C. KG
    KG is the vehicle registration code used on license plates for the Serbian city of Kragujevac.
  • D. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • E. KM.G
    KM.G is a hip-hop producer and member of the Compton-based group Above the Law, known for his work shaping the early West Coast G-funk sound.
  • 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: KG
Triple: [Tup, ISO3166-1Alpha2CountryCode, KG]
Generated description
KG is the ISO 3166-1 alpha-2 country code for Kyrgyzstan, a landlocked nation in Central Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KG
Target entity description: KG is the ISO 3166-1 alpha-2 country code for Kyrgyzstan, a landlocked nation in Central Asia.
  • 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. KG
    KG is the vehicle registration code used on license plates for the Bad Kissingen district in Bavaria, Germany.
  • D. KG
    KG is the vehicle registration code used on license plates for the Serbian city of Kragujevac.
  • E. KM.G
    KM.G is a hip-hop producer and member of the Compton-based group Above the Law, known for his work shaping the early West Coast G-funk sound.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d24e548190a766dd246a4d63d4 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4c2dc08190b60982abc9ac7c9c completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018f2358b481908226aa84a7bd9d7f completed May 11, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0190125abc8190ad4d1f500e3513b3 completed May 11, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:43 a.m.