Triple
T8714999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munich S-Bahn trunk line |
E206870
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | S6 |
E753872
|
NE FINISHED |
How this triple was built (2 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: S6 | Statement: [Munich S-Bahn trunk line, usedBy, S6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S6 Context triple: [Munich S-Bahn trunk line, usedBy, S6]
-
A.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
-
B.
S6
chosen
S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
-
C.
S8
S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
-
D.
S8
S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
-
E.
S5
S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42998df88190a6eba28c2efb2030 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.