Triple

T5681195
Position Surface form Disambiguated ID Type / Status
Subject Sikkim E125201 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SK
SK is the official vehicle registration code assigned to the Indian state of Sikkim.
 E541006 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: SK | Statement: [Sikkim, vehicleRegistrationCode, SK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SK
Context triple: [Sikkim, vehicleRegistrationCode, SK]
  • A. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • B. SK
    SK is the IATA airline designator used worldwide to identify Scandinavian Airlines on tickets, timetables, and flight information systems.
  • C. SK
    SK is the ISO 3166-1 alpha-2 country code for Slovakia, a landlocked Central European nation known for its mountains, castles, and membership in the European Union.
  • D. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • E. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • 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: SK
Triple: [Sikkim, vehicleRegistrationCode, SK]
Generated description
SK is the official vehicle registration code assigned to the Indian state of Sikkim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SK
Target entity description: SK is the official vehicle registration code assigned to the Indian state of Sikkim.
  • A. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • B. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • C. SK
    SK is the IATA airline designator used worldwide to identify Scandinavian Airlines on tickets, timetables, and flight information systems.
  • D. SK
    SK is the ISO 3166-1 alpha-2 country code for Slovakia, a landlocked Central European nation known for its mountains, castles, and membership in the European Union.
  • E. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a35dd9c8190acd2ee8e94f309a6 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05c471c3081909e5bf44f47388a7c completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05cda809c81908219947cf06c381a completed March 22, 2026, 9:19 p.m.
Created at: March 22, 2026, 3:44 p.m.