Triple
T35040032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setia Jaya KTM station via BRT |
E1011043
|
entity |
| Predicate | partOfUrbanTransportCorridor |
P38993
|
FINISHED |
| Object |
Subang Jaya–Bandar Sunway corridor
The Subang Jaya–Bandar Sunway corridor is a major urban transit and development belt in Selangor, Malaysia, linking the Subang Jaya city area with the Bandar Sunway township through integrated rail and bus services and dense commercial, educational, and residential zones.
|
E2121703
|
NE FINISHED |
How this triple was built (3 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: Subang Jaya–Bandar Sunway corridor | Statement: [Setia Jaya KTM station via BRT, partOfUrbanTransportCorridor, Subang Jaya–Bandar Sunway corridor]
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: Subang Jaya–Bandar Sunway corridor Triple: [Setia Jaya KTM station via BRT, partOfUrbanTransportCorridor, Subang Jaya–Bandar Sunway corridor]
Generated description
The Subang Jaya–Bandar Sunway corridor is a major urban transit and development belt in Selangor, Malaysia, linking the Subang Jaya city area with the Bandar Sunway township through integrated rail and bus services and dense commercial, educational, and residential zones.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanTransportCorridor Context triple: [Setia Jaya KTM station via BRT, partOfUrbanTransportCorridor, Subang Jaya–Bandar Sunway corridor]
-
A.
belongsToUrbanCorridor
chosen
Indicates that something is part of, contained within, or functionally integrated into a continuous urban corridor or urbanized area.
-
B.
transportCorridorName
Indicates the designated name assigned to a specific transport corridor used for movement of people or goods.
-
C.
servedByBusCorridor
Indicates that a location or route is provided public transport service by a specific bus corridor.
-
D.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
E.
parallelTransportCorridor
Indicates a relationship where one path, route, or connection is used to transport something in a way that preserves its structure or configuration relative to another, typically along a shared or corresponding trajectory.
- F. None of above.
Provenance (6 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_6a007338002081908cb6340d65ff86d5 |
completed | May 10, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37bd2ee2148190aa944631428527a4 |
completed | June 21, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_6a37bdc0a6888190985637b707ad25bf |
completed | June 21, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37be8fbfc08190bc356dbcbc0a1b5f |
completed | June 21, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_6a0072a137ac8190a7debeb28e738e03 |
completed | May 10, 2026, 11:57 a.m. |
Created at: May 3, 2026, 4:01 p.m.