Triple
T11526471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place d’Italie station |
E273307
|
entity |
| Predicate | isInterchangeStationFor |
P15892
|
FINISHED |
| Object |
Line 6
Line 6 is one of the lines of the Paris Métro, known for its largely elevated route offering views of the city, including the Eiffel Tower.
|
E930245
|
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 6 | Statement: [Place d’Italie station, isInterchangeStationFor, Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 6 Context triple: [Place d’Italie station, isInterchangeStationFor, Line 6]
-
A.
Line 6
Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
-
B.
Line 6
Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
-
C.
Line 6
Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
-
D.
Line 6
Line 6 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving multiple districts across the city.
-
E.
Line 6
Line 6 is a rapid transit line of the Chongqing Rail Transit system in Chongqing, China, serving key urban districts with high-capacity metro service.
- 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 6 Triple: [Place d’Italie station, isInterchangeStationFor, Line 6]
Generated description
Line 6 is one of the lines of the Paris Métro, known for its largely elevated route offering views of the city, including the Eiffel Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 6 Target entity description: Line 6 is one of the lines of the Paris Métro, known for its largely elevated route offering views of the city, including the Eiffel Tower.
-
A.
Line 6
Line 6 is a rapid transit route of the Brussels Metro system that serves key stations in Belgium’s capital.
-
B.
Line 6
Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
-
C.
Line 6
Line 6 is a major route of the Seoul Metropolitan Subway system that runs in a semi-circular path through northern Seoul, connecting numerous residential and commercial districts.
-
D.
Line 6
Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
-
E.
Line 6
Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6256e3130819095a93c8d1891b078 |
completed | April 20, 2026, 1:09 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:37 p.m.