Triple
T36058089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express Rail Link |
E1043001
|
entity |
| Predicate | intermediateStations |
P24280
|
FINISHED |
| Object | Bandar Tasik Selatan |
—
|
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: Bandar Tasik Selatan | Statement: [Express Rail Link, intermediateStations, Bandar Tasik Selatan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intermediateStations Context triple: [Express Rail Link, intermediateStations, Bandar Tasik Selatan]
-
A.
hasIntermediateStation
chosen
Indicates that a route, journey, or connection includes a station that lies between its starting point and its final destination.
-
B.
middleStation
Indicates that one station lies between two other stations along a route or line, serving as an intermediate point in the sequence.
-
C.
numberOfIntermediateStops
Indicates the count of stops or pauses that occur between the starting point and the final destination in a journey or process.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
interchangeStation
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:08 p.m.