Triple
T29973989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express Rail Link to Kuala Lumpur |
E761393
|
entity |
| Predicate | travelTimeCharacteristic |
P55411
|
FINISHED |
| Object | fast connection between airport and city centre |
—
|
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: fast connection between airport and city centre | Statement: [Express Rail Link to Kuala Lumpur, travelTimeCharacteristic, fast connection between airport and city centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeCharacteristic Context triple: [Express Rail Link to Kuala Lumpur, travelTimeCharacteristic, fast connection between airport and city centre]
-
A.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
B.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
C.
mobilityCharacteristic
Indicates a relationship where an entity is described or classified in terms of its movement or transportation-related properties, such as how, how well, or under what conditions it can move or be moved.
-
D.
transportationCharacteristic
chosen
Indicates a specific property, feature, or quality that characterizes a mode, means, or instance of transportation.
-
E.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 6:33 p.m.