Triple
T13588459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kereta Api Indonesia |
E324630
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Reska Multi Usaha
Reska Multi Usaha is an Indonesian company that provides onboard catering, cleaning, and related support services for the national railway operator.
|
E1049168
|
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: Reska Multi Usaha | Statement: [Kereta Api Indonesia, hasSubsidiary, Reska Multi Usaha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reska Multi Usaha Context triple: [Kereta Api Indonesia, hasSubsidiary, Reska Multi Usaha]
-
A.
Resuk
Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
-
B.
Enterprise Rupes
Enterprise Rupes is a prominent lobate scarp on the planet Mercury, formed by the planet’s crust contracting and thrusting over itself as Mercury cooled.
-
C.
New Bazaar
New Bazaar is the English translation of "Novi Pazar," a historic town in southwestern Serbia known for its Ottoman-era architecture and multicultural heritage.
-
D.
The Business
The Business is a film featuring actor Geoff Bell in a prominent role.
-
E.
Takas
Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
- 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: Reska Multi Usaha Triple: [Kereta Api Indonesia, hasSubsidiary, Reska Multi Usaha]
Generated description
Reska Multi Usaha is an Indonesian company that provides onboard catering, cleaning, and related support services for the national railway operator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reska Multi Usaha Target entity description: Reska Multi Usaha is an Indonesian company that provides onboard catering, cleaning, and related support services for the national railway operator.
-
A.
Resuk
Resuk is an indigenous local language spoken by the community on Atauro Island in Timor-Leste.
-
B.
Enterprise Rupes
Enterprise Rupes is a prominent lobate scarp on the planet Mercury, formed by the planet’s crust contracting and thrusting over itself as Mercury cooled.
-
C.
New Bazaar
New Bazaar is the English translation of "Novi Pazar," a historic town in southwestern Serbia known for its Ottoman-era architecture and multicultural heritage.
-
D.
The Business
The Business is a film featuring actor Geoff Bell in a prominent role.
-
E.
Takas
Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
- 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_69f7792110e48190a29b6e89c6ebcc03 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.