Triple
T13588475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kereta Api Indonesia |
E324630
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | PT KAI |
E324630
|
NE FINISHED |
How this triple was built (2 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: PT KAI | Statement: [Kereta Api Indonesia, shortName, PT KAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PT KAI Context triple: [Kereta Api Indonesia, shortName, PT KAI]
-
A.
Kereta Api Indonesia
chosen
Kereta Api Indonesia is Indonesia’s state-owned railway company responsible for operating the country’s passenger and freight rail services.
-
B.
KTM Komuter
KTM Komuter is a Malaysian commuter rail service operating in the Greater Kuala Lumpur area and surrounding regions, providing frequent, affordable suburban train connections.
-
C.
KRL
KRL is a Pakistani nuclear and defense research facility known for its key role in the development of Pakistan’s nuclear weapons program.
-
D.
KRL Commuterline
KRL Commuterline is the electric commuter rail network serving the Greater Jakarta metropolitan area, providing mass transit for millions of daily passengers.
-
E.
KTM (Keretapi Tanah Melayu)
KTM (Keretapi Tanah Melayu) is Malaysia’s main national railway operator, providing intercity, commuter, and cross-border train services across Peninsular Malaysia and into Singapore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 9, 2026, 9:49 p.m.