Triple
T10958631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRT Kelana Jaya Line |
E258907
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Lembah Subang Depot |
E896726
|
NE 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: Lembah Subang Depot | Statement: [LRT Kelana Jaya Line, depot, Lembah Subang Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lembah Subang Depot Context triple: [LRT Kelana Jaya Line, depot, Lembah Subang Depot]
-
A.
Subang Depot
chosen
Subang Depot is a maintenance and storage facility serving trains on the LRT Kelana Jaya Line in the Klang Valley rail network of Malaysia.
-
B.
Cimahi Station
Cimahi Station is a railway station in Cimahi, West Java, Indonesia, serving as a local and regional passenger rail hub in the Bandung metropolitan area.
-
C.
Sentul station
Sentul station is a key commuter rail station in Kuala Lumpur, Malaysia, serving as an important node on the KTM Komuter network.
-
D.
Bojong Gede Station
Bojong Gede Station is a commuter rail station serving the Bojong Gede area in the Greater Jakarta region of Indonesia.
-
E.
Munyang Depot
Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77126d9288190aa5daf2ba83d731d |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.