Triple
T11904319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart Stadtbahn |
E283234
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
U8
U8 is a light rail line of the Stuttgart Stadtbahn network serving various districts in and around Stuttgart, Germany.
|
E953833
|
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: U8 | Statement: [Stuttgart Stadtbahn, hasLine, U8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U8 Context triple: [Stuttgart Stadtbahn, hasLine, U8]
-
A.
U8
U8 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting districts such as Gesundbrunnen, Mitte, and Neukölln.
-
B.
U8
U8 is a former temporary line designation of the Munich U-Bahn rapid transit system, used primarily for special or reinforcement services rather than as a regular, permanent route.
-
C.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
-
D.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
E.
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.
- 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: U8 Triple: [Stuttgart Stadtbahn, hasLine, U8]
Generated description
U8 is a light rail line of the Stuttgart Stadtbahn network serving various districts in and around Stuttgart, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U8 Target entity description: U8 is a light rail line of the Stuttgart Stadtbahn network serving various districts in and around Stuttgart, Germany.
-
A.
U8
U8 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting districts such as Gesundbrunnen, Mitte, and Neukölln.
-
B.
U8
U8 is a former temporary line designation of the Munich U-Bahn rapid transit system, used primarily for special or reinforcement services rather than as a regular, permanent route.
-
C.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
-
D.
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.
-
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_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.