Triple
T14133244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwedenplatz transport hub |
E350221
|
entity |
| Predicate | servedByMetroLine |
P6301
|
FINISHED |
| Object |
U4
U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
|
E1082655
|
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: U4 | Statement: [Schwedenplatz transport hub, servedByMetroLine, U4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U4 Context triple: [Schwedenplatz transport hub, servedByMetroLine, U4]
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
U4 is a line of the Munich U-Bahn rapid transit system serving several central and eastern districts of Munich, Germany.
-
C.
U4
U4 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
D.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
E.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
- 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: U4 Triple: [Schwedenplatz transport hub, servedByMetroLine, U4]
Generated description
U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U4 Target entity description: U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
C.
U4
U4 is a line of the Munich U-Bahn rapid transit system serving several central and eastern districts of Munich, Germany.
-
D.
U4
U4 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
E.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0dec2488190be9c24d3744e7243 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce206b0588190a0f4b24231d3c365 |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 11:34 p.m.