Triple

T1244605
Position Surface form Disambiguated ID Type / Status
Subject Pomeranian Voivodeship E26733 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GKS
GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
 E142549 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: GKS | Statement: [Pomeranian Voivodeship, vehicleRegistrationCode, GKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GKS
Context triple: [Pomeranian Voivodeship, vehicleRegistrationCode, GKS]
  • A. VGIK
    VGIK is Russia’s renowned national film school and one of the world’s oldest film institutes, known for training influential filmmakers such as Sergei Eisenstein.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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: GKS
Triple: [Pomeranian Voivodeship, vehicleRegistrationCode, GKS]
Generated description
GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GKS
Target entity description: GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
  • A. VGIK
    VGIK is Russia’s renowned national film school and one of the world’s oldest film institutes, known for training influential filmmakers such as Sergei Eisenstein.
  • B. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • C. KGR
    KGR is the Polish vehicle registration code assigned to the Gorlice area in the Lesser Poland Voivodeship.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7bd6148190933210f66a8899ce completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac900a6c208190b3c76efcec1186ec completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac9111e6288190b83074bd05e2f282 completed March 7, 2026, 8:56 p.m.
Created at: March 1, 2026, 7:47 p.m.