Triple
T12576032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Blue Line |
E300207
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Chaloem Ratchamongkhon depot
Chaloem Ratchamongkhon depot is a maintenance and storage facility serving Bangkok’s MRT Blue Line rapid transit system.
|
E990552
|
NE FINISHED |
How this triple was built (4 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: Chaloem Ratchamongkhon depot | Statement: [MRT Blue Line, depot, Chaloem Ratchamongkhon depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaloem Ratchamongkhon depot Context triple: [MRT Blue Line, depot, Chaloem Ratchamongkhon depot]
-
A.
Huai Khwang depot
Huai Khwang depot is a maintenance and storage facility serving Bangkok’s MRT Blue Line rapid transit system.
-
B.
Ramkhamhaeng station
Ramkhamhaeng station is a Bangkok railway station on the Airport Rail Link line that connects the city center with Suvarnabhumi Airport.
-
C.
Ratchaprarop station
Ratchaprarop station is an elevated railway station in central Bangkok serving the Airport Rail Link line that connects the city to Suvarnabhumi Airport.
-
D.
Phaya Thai station
Phaya Thai station is a major transit hub in Bangkok that connects the Airport Rail Link with the city’s urban rail network.
-
E.
Mo Chit Depot
Mo Chit Depot is a major maintenance and stabling facility serving Bangkok’s BTS Skytrain system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Chaloem Ratchamongkhon depot Triple: [MRT Blue Line, depot, Chaloem Ratchamongkhon depot]
Generated description
Chaloem Ratchamongkhon depot is a maintenance and storage facility serving Bangkok’s MRT Blue Line rapid transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaloem Ratchamongkhon depot Target entity description: Chaloem Ratchamongkhon depot is a maintenance and storage facility serving Bangkok’s MRT Blue Line rapid transit system.
-
A.
Huai Khwang depot
chosen
Huai Khwang depot is a maintenance and storage facility serving Bangkok’s MRT Blue Line rapid transit system.
-
B.
Ramkhamhaeng station
Ramkhamhaeng station is a Bangkok railway station on the Airport Rail Link line that connects the city center with Suvarnabhumi Airport.
-
C.
Ratchaprarop station
Ratchaprarop station is an elevated railway station in central Bangkok serving the Airport Rail Link line that connects the city to Suvarnabhumi Airport.
-
D.
Phaya Thai station
Phaya Thai station is a major transit hub in Bangkok that connects the Airport Rail Link with the city’s urban rail network.
-
E.
Mo Chit Depot
Mo Chit Depot is a major maintenance and stabling facility serving Bangkok’s BTS Skytrain system.
- F. None of above.
Provenance (5 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebab65081908a174586f0ebb16f |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f6617479ec819080eac67abc9bc435 |
completed | May 2, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 4:47 p.m.