Triple
T11526470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place d’Italie station |
E273307
|
entity |
| Predicate | isInterchangeStationFor |
P15892
|
FINISHED |
| Object |
Line 5
Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
|
E930244
|
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 5 | Statement: [Place d’Italie station, isInterchangeStationFor, Line 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 5 Context triple: [Place d’Italie station, isInterchangeStationFor, Line 5]
-
A.
Line 5
Line 5 is a major north–south route of the Beijing Subway known for connecting key residential and commercial areas through the city center.
-
B.
Line 5
Line 5 is a major east–west rapid transit route in the Guangzhou Metro system, serving key urban districts and facilitating high-capacity cross-city travel.
-
C.
Line 5
Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
-
D.
Line 5
Line 5 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's key urban rail corridors.
-
E.
Line 5
Line 5 is a major east–west rapid transit line of the Seoul Metropolitan Subway system in South Korea, serving key districts across the city and extending into surrounding areas.
- 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 5 Triple: [Place d’Italie station, isInterchangeStationFor, Line 5]
Generated description
Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 5 Target entity description: Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
-
A.
Line 5
Line 5 is a major north–south route of the Beijing Subway known for connecting key residential and commercial areas through the city center.
-
B.
Line 5
Line 5 is a major line of the Barcelona Metro rapid transit system, serving numerous key neighborhoods and transport hubs across the city.
-
C.
Line 5
Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
-
D.
Line 5
Line 5 is one of the main lines of the Saint Petersburg Metro system, forming part of the city’s rapid transit network.
-
E.
Line 5
Line 5 is a major east–west rapid transit line of the Seoul Metropolitan Subway system in South Korea, serving key districts across the city and extending into surrounding areas.
- 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.