Triple
T16658704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiangshan MRT Station |
E404801
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object |
Red Line
The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
|
E1230542
|
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: Red Line | Statement: [Xiangshan MRT Station, line, Red Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Line Context triple: [Xiangshan MRT Station, line, Red Line]
-
A.
Red Line
The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
-
B.
Red Line
Red Line is a song by the American rock band Trans Am, known for their experimental blend of post-rock, electronic, and krautrock influences.
-
C.
Red Line
The Red Line is one of the major corridors of the Delhi Metro rapid transit system, serving numerous densely populated areas in and around Delhi.
-
D.
Red Line
Red Line is one of the main rapid transit corridors of the Hyderabad Metro system in Hyderabad, India.
-
E.
Red Line
The Red Line is a light rail route in the Salt Lake City TRAX system that connects key destinations across the Salt Lake Valley.
- 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: Red Line Triple: [Xiangshan MRT Station, line, Red Line]
Generated description
The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Line Target entity description: The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
-
A.
Red Line
Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
-
B.
Red Line
The Red Line is a major rapid transit route in the Boston metropolitan area, operated by the MBTA and running primarily north–south through key neighborhoods and suburbs.
-
C.
Red Line
The Red Line is a major rapid transit route in Chicago that runs north–south through the city, serving as one of the busiest lines in its subway and elevated rail system.
-
D.
Red Line
The Red Line is a primary route of Pittsburgh’s light rail system, connecting downtown with several southern neighborhoods and suburbs.
-
E.
Red Line
Red Line is one of the main rapid transit routes of the Dubai Metro, running along key areas of the city and serving many of its major commercial and residential districts.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfcbb6881909c0419174dd017dc |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d2f7ad88190ba85a79154502841 |
completed | May 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a009df9e4ec81909c4c155a026904fe |
completed | May 10, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009eb06d6481909914286301f9b4db |
completed | May 10, 2026, 3:05 p.m. |
Created at: April 10, 2026, 5:18 a.m.