Triple
T12441054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Chit Depot |
E297269
|
entity |
| Predicate | servesRollingStockType |
P5426
|
FINISHED |
| Object |
BTS EMU trainsets
BTS EMU trainsets are electric multiple-unit trains that operate on Bangkok’s BTS Skytrain rapid transit system.
|
E984330
|
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: BTS EMU trainsets | Statement: [Mo Chit Depot, servesRollingStockType, BTS EMU trainsets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTS EMU trainsets Context triple: [Mo Chit Depot, servesRollingStockType, BTS EMU trainsets]
-
A.
NM-02 trains
NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
-
B.
Civia EMU
Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
-
C.
Comeng EMU
The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
-
D.
C-series trains
C-series trains are a modern class of electric multiple-unit subway trains used on the Munich U-Bahn, known for their articulated design and improved passenger comfort and capacity.
-
E.
21-series EMU
The 21-series EMU is a type of electric multiple unit train used for urban rapid transit services on Japan’s Osaka Metro network.
- 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: BTS EMU trainsets Triple: [Mo Chit Depot, servesRollingStockType, BTS EMU trainsets]
Generated description
BTS EMU trainsets are electric multiple-unit trains that operate on Bangkok’s BTS Skytrain rapid transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BTS EMU trainsets Target entity description: BTS EMU trainsets are electric multiple-unit trains that operate on Bangkok’s BTS Skytrain rapid transit system.
-
A.
NM-02 trains
NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
-
B.
Civia EMU
Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
-
C.
Comeng EMU
The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
-
D.
C-series trains
C-series trains are a modern class of electric multiple-unit subway trains used on the Munich U-Bahn, known for their articulated design and improved passenger comfort and capacity.
-
E.
21-series EMU
The 21-series EMU is a type of electric multiple unit train used for urban rapid transit services on Japan’s Osaka Metro network.
- F. None of above. chosen
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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8ecb6c8190a19cbf9de31cabbd |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0ea1e48190a11cf94797290156 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f64010a1348190afaf7b95b8f146b5 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f640c33d948190ad8f9885f90786d7 |
completed | May 2, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:55 p.m.