Triple
T26648837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keretapi Tanah Melayu |
E668993
|
entity |
| Predicate | flagshipService |
P124958
|
FINISHED |
| Object | KTM Cargo |
—
|
NE NERFINISHED |
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: KTM Cargo | Statement: [Keretapi Tanah Melayu, flagshipService, KTM Cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipService Context triple: [Keretapi Tanah Melayu, flagshipService, KTM Cargo]
-
A.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
B.
flagshipAt
chosen
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
C.
flagshipStatus
Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
-
D.
flagshipType
Indicates that one entity is the primary or most important representative (flagship) of a particular type, category, or group defined by the other entity.
-
E.
flagshipExample
Indicates that something serves as the primary or showcase example representing a broader group, concept, or collection.
- F. None of above.
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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 2:32 a.m.