Triple
T15330739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linz tramway network |
E366524
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 1
Line 1 is a principal tram route in the Austrian city of Linz, forming part of its urban public transport network.
|
E1150049
|
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: [Linz tramway network, hasLine, Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 1 Context triple: [Linz tramway network, hasLine, Line 1]
-
A.
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.
-
B.
Line 1
Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
-
C.
Line 1
Line 1 is the first rapid transit line of the Santo Domingo Metro system, serving as a major north–south corridor through the Dominican Republic’s capital.
-
D.
Line 1
Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
-
E.
Line 1
Line 1 is the inaugural corridor of the Mexico City Metrobús bus rapid transit system, serving as a major north–south transit route in the city.
- 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: [Linz tramway network, hasLine, Line 1]
Generated description
Line 1 is a principal tram route in the Austrian city of Linz, forming part of its urban public transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 1 Target entity description: Line 1 is a principal tram route in the Austrian city of Linz, forming part of its urban public transport network.
-
A.
Line 1
Line 1 is a principal route of the Nottingham Express Transit tram network, connecting key suburbs with Nottingham city centre.
-
B.
Line 1
Line 1 is a principal light rail route of the Tunis Metro system, serving key districts within the Tunis metropolitan area.
-
C.
Line 1
Line 1 is a major east–west rapid transit route of the Brussels Metro system, connecting key districts across the Belgian capital.
-
D.
Line 1
Line 1 is a major rapid transit route of the Hangzhou Metro system that serves as one of the city’s primary east–west urban rail corridors.
-
E.
Line 1
Line 1 is the primary light rail route of the West Midlands Metro system, running between key urban centers in the West Midlands region of England.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefb10ba78819094948f5401702e79 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefbad7de08190aa2479ec0243e3a6 |
completed | May 9, 2026, 9:17 a.m. |
Created at: April 10, 2026, 3:17 a.m.