Triple
T35040013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setia Jaya KTM station via BRT |
E1011043
|
entity |
| Predicate | connectsRailNetwork |
P95666
|
FINISHED |
| Object | KTM Komuter |
—
|
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 Komuter | Statement: [Setia Jaya KTM station via BRT, connectsRailNetwork, KTM Komuter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsRailNetwork Context triple: [Setia Jaya KTM station via BRT, connectsRailNetwork, KTM Komuter]
-
A.
connectsToRailwayNetwork
chosen
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
B.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
C.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
D.
belongsToRailNetwork
Indicates that something is part of, or included within, a specific rail network.
-
E.
servesRailTrafficBetween
Indicates that something (typically a rail line, service, or facility) provides rail transportation connecting two or more locations.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: May 3, 2026, 4:01 p.m.