Triple
T23553569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springpfuhl |
E578118
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | S75 |
—
|
NE NERFINISHED |
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: S75 | Statement: [Springpfuhl, servedByLine, S75]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S75 Context triple: [Springpfuhl, servedByLine, S75]
-
A.
S75
chosen
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
B.
G75
G75 is a major Chinese national expressway route that runs between the cities of Lanzhou and Haikou.
-
C.
E75S
E75S is the ICAO aircraft type designator used for the Embraer 175 regional jet.
-
D.
S7
S7 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt Rhine-Main metropolitan region in Germany.
-
E.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.