Triple
T1650414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro |
E35677
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
APM Line
APM Line is a driverless automated people mover line in the Guangzhou Metro system that primarily serves the city’s central business district.
|
E185778
|
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: APM Line | Statement: [Guangzhou Metro, hasLine, APM Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APM Line Context triple: [Guangzhou Metro, hasLine, APM Line]
-
A.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
B.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
C.
Metro Line 54
Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
-
D.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
E.
Big Circle Line
The Big Circle Line is a major circular metro line in the Moscow Metro system designed to connect outlying radial lines and reduce congestion in the city center.
- 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: APM Line Triple: [Guangzhou Metro, hasLine, APM Line]
Generated description
APM Line is a driverless automated people mover line in the Guangzhou Metro system that primarily serves the city’s central business district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: APM Line Target entity description: APM Line is a driverless automated people mover line in the Guangzhou Metro system that primarily serves the city’s central business district.
-
A.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
B.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
C.
Metro Line 54
Metro Line 54 is a rapid transit line in the Amsterdam Metro system that connects the city center with southeastern suburbs such as Bijlmermeer.
-
D.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
E.
Big Circle Line
The Big Circle Line is a major circular metro line in the Moscow Metro system designed to connect outlying radial lines and reduce congestion in the city center.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a66b58c819082d38ef1c805cf44 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a996508190bc227400cb7713ac |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61323b308190b883c4bf2c3ca1bf |
completed | March 8, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad622d695481909351a9c80f8d646f |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.