Triple

T13588460
Position Surface form Disambiguated ID Type / Status
Subject Kereta Api Indonesia E324630 entity
Predicate hasSubsidiary P254 FINISHED
Object KAI Services
KAI Services is a subsidiary company of Indonesia’s state-owned railway operator that provides supporting services related to rail transportation operations and facilities.
 E1049868 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: KAI Services | Statement: [Kereta Api Indonesia, hasSubsidiary, KAI Services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAI Services
Context triple: [Kereta Api Indonesia, hasSubsidiary, KAI Services]
  • A. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • B. KIS
    KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
  • C. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • D. KAL
    KAL is the standard abbreviation used for the Kalamazoo Growlers baseball team.
  • E. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • 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: KAI Services
Triple: [Kereta Api Indonesia, hasSubsidiary, KAI Services]
Generated description
KAI Services is a subsidiary company of Indonesia’s state-owned railway operator that provides supporting services related to rail transportation operations and facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAI Services
Target entity description: KAI Services is a subsidiary company of Indonesia’s state-owned railway operator that provides supporting services related to rail transportation operations and facilities.
  • A. KARI
    KARI is South Korea's national aerospace research organization responsible for developing space and aeronautical technologies, including satellites and launch vehicles.
  • B. KIS
    KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
  • C. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • D. KAL
    KAL is the standard abbreviation used for the Kalamazoo Growlers baseball team.
  • E. KAL
    KAL is the ICAO airline designator used to identify Korean Air in international aviation operations.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb054c6008190839384ce26e8f71a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc347b881908267455f3bdd50e8 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.