Triple
T6881120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottingham Express Transit |
E158797
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 1
Line 1 is a principal route of the Nottingham Express Transit tram network, connecting key suburbs with Nottingham city centre.
|
E625062
|
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 1 | Statement: [Nottingham Express Transit, hasLine, Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 1 Context triple: [Nottingham Express Transit, hasLine, Line 1]
-
A.
Line 1
Line 1 is the oldest and one of the busiest lines of the Santiago Metro, running primarily east–west across central Santiago, Chile.
-
B.
Line 1
Line 1 is one of the main east–west rapid transit lines of the Beijing Subway, serving as a core corridor through central Beijing.
-
C.
Line 1
Line 1 is the oldest and one of the busiest lines of the Mexico City Metro, running east–west across the city and serving many central, high-traffic stations.
-
D.
Line 1
Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
-
E.
Line 1
Line 1 is a major north–south rapid transit line of the Shanghai Metro and one of the system’s oldest and busiest routes.
- 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 1 Triple: [Nottingham Express Transit, hasLine, Line 1]
Generated description
Line 1 is a principal route of the Nottingham Express Transit tram network, connecting key suburbs with Nottingham city centre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 1 Target entity description: Line 1 is a principal route of the Nottingham Express Transit tram network, connecting key suburbs with Nottingham city centre.
-
A.
Line 1
Line 1 is a principal light rail route of the Tunis Metro system, serving key districts within the Tunis metropolitan area.
-
B.
Line 1
Line 1 is a major east–west rapid transit route of the Brussels Metro system, connecting key districts across the Belgian capital.
-
C.
Line 1
Line 1 is a major Beijing Subway route that runs north–south through the city’s central axis, serving key commercial and historical areas.
-
D.
Line 1
Line 1 is the numerical designation commonly used for Ottawa’s Confederation Line, the city’s primary light rail transit route.
-
E.
Line 1
Line 1 is the first and main automated metro line of the Turin Metro system in Turin, Italy, connecting key areas of the city along an underground route.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e798c08190b1f494a2c1445514 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742c999cc8190a14aa0ae6c7a1f54 |
completed | March 28, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69c743dffc188190a59ca6c86483c348 |
completed | March 28, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7444e57a881908808a4bd96505048 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:23 p.m.