Triple
T1243621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin S-Bahn |
E26713
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | S7 |
E139349
|
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: S7 | Statement: [Berlin S-Bahn, hasLine, S7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S7 Context triple: [Berlin S-Bahn, hasLine, S7]
-
A.
S7
chosen
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
Siemens S70
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
-
C.
S-blokka
S-blokka is a government office building in Oslo, Norway, that forms part of the Norwegian Government Quarter complex.
-
D.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
E.
7L
7L is the IATA airline designator assigned to AeroCaribbean, a regional carrier based in Cuba.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf636e208190a4d56806db61916c |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f7bd6148190933210f66a8899ce |
completed | March 7, 2026, 8:50 p.m. |
Created at: March 1, 2026, 7:47 p.m.