Triple
T1650409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Metro |
E35677
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 9
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
|
E188953
|
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: Line 9 | Statement: [Guangzhou Metro, hasLine, Line 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 9 Context triple: [Guangzhou Metro, hasLine, Line 9]
-
A.
Line 9
Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
-
B.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
C.
Line 8
Line 8 is a route of Mexico City’s Metrobús bus rapid transit system, serving key corridors with dedicated lanes and station platforms.
-
D.
Line 8
Line 8 is a line of the Mexico City Metro system that runs in a generally north–south direction, connecting key residential and commercial areas of the city.
-
E.
Line 8
Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
- 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: Line 9 Triple: [Guangzhou Metro, hasLine, Line 9]
Generated description
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 9 Target entity description: Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
-
A.
Line 9
Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
-
B.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
C.
Line 8
Line 8 is a route of Mexico City’s Metrobús bus rapid transit system, serving key corridors with dedicated lanes and station platforms.
-
D.
Line 8
Line 8 is a line of the Mexico City Metro system that runs in a generally north–south direction, connecting key residential and commercial areas of the city.
-
E.
Line 8
Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
- 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_69ad71a8c22c8190b7f2883dfbd1403f |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad72371b648190a50b5b5ca9cd7f5d |
completed | March 8, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72a64e0c8190a2b63c78c54896d0 |
completed | March 8, 2026, 12:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.