Triple
T11904316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Stadtbahn |
E283234
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
U5
U5 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
|
E953830
|
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: U5 | Statement: [Stuttgart Stadtbahn, hasLine, U5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U5 Context triple: [Stuttgart Stadtbahn, hasLine, U5]
-
A.
U5
U5 is a major line of the Munich U-Bahn rapid transit system, running east–west across the city and serving several key residential and commercial districts.
-
B.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
C.
U5
U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
-
D.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
E.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
- 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: U5 Triple: [Stuttgart Stadtbahn, hasLine, U5]
Generated description
U5 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U5 Target entity description: U5 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
-
A.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U5
U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
-
C.
U5
U5 is a major line of the Munich U-Bahn rapid transit system, running east–west across the city and serving several key residential and commercial districts.
-
D.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
E.
U4
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
- 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.