Triple
T11904327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Stadtbahn |
E283234
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
U19
U19 is a line of the Stuttgart Stadtbahn light rail network serving urban transit routes within Stuttgart, Germany.
|
E953841
|
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: U19 | Statement: [Stuttgart Stadtbahn, hasLine, U19]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U19 Context triple: [Stuttgart Stadtbahn, hasLine, U19]
-
A.
U-17
U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
-
B.
U21
U21 is a global network of leading research-intensive universities that collaborate to enhance higher education and research through international partnerships and initiatives.
-
C.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
-
D.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
E.
NOR U19
NOR U19 is the under-19 national football team representing Norway in international youth competitions.
- 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: U19 Triple: [Stuttgart Stadtbahn, hasLine, U19]
Generated description
U19 is a line of the Stuttgart Stadtbahn light rail network serving urban transit routes within Stuttgart, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U19 Target entity description: U19 is a line of the Stuttgart Stadtbahn light rail network serving urban transit routes within Stuttgart, Germany.
-
A.
U-17
U-17 is a youth football age category for players under 17 years old, commonly used in international and domestic competitions.
-
B.
U21
U21 is a global network of leading research-intensive universities that collaborate to enhance higher education and research through international partnerships and initiatives.
-
C.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
-
D.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
E.
NOR U19
NOR U19 is the under-19 national football team representing Norway in international youth competitions.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418487f448190b6e24fb2c0409e3f |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1d2da0819082f00cf61a6530b6 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.