Triple
T36566763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelana Jaya Depot |
E901997
|
entity |
| Predicate | railNetworkTypeServed |
P55099
|
FINISHED |
| Object | light rail transit |
—
|
LITERAL 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: light rail transit | Statement: [Kelana Jaya Depot, railNetworkTypeServed, light rail transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railNetworkTypeServed Context triple: [Kelana Jaya Depot, railNetworkTypeServed, light rail transit]
-
A.
railwayTypeServed
chosen
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
B.
railwaySystemServed
Indicates that a railway system provides service to, or operates within, a specified location or area.
-
C.
railInfrastructureServed
Indicates that a rail infrastructure facility or segment is served, accessed, or operated by a particular service, operator, or network.
-
D.
railServiceType
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
-
E.
railroadLineServed
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.