Triple

T5681193
Position Surface form Disambiguated ID Type / Status
Subject Sikkim E125201 entity
Predicate ISOCode P208 FINISHED
Object IN-SK
IN-SK is the ISO 3166-2 code representing the Indian state of Sikkim.
 E541005 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: IN-SK | Statement: [Sikkim, ISOCode, IN-SK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IN-SK
Context triple: [Sikkim, ISOCode, IN-SK]
  • A. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • B. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • C. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • D. Jeongjeon
    Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
  • E. Yangju
    Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
  • 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: IN-SK
Triple: [Sikkim, ISOCode, IN-SK]
Generated description
IN-SK is the ISO 3166-2 code representing the Indian state of Sikkim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IN-SK
Target entity description: IN-SK is the ISO 3166-2 code representing the Indian state of Sikkim.
  • A. Wiryeseong
    Wiryeseong was the first capital city of the ancient Korean kingdom of Baekje, located in the Han River basin near present-day Seoul.
  • B. Mokneung
    Mokneung is one of the royal burial sites from Korea’s Joseon Dynasty, forming part of the UNESCO-listed Royal Tombs complex.
  • C. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • D. Jeongjeon
    Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
  • E. Yangju
    Yangju is a city in northwestern South Korea known for its mix of suburban residential areas, light industry, and proximity to Seoul.
  • 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.