Triple
T11772497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flöha |
E279933
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Flöha station |
E279934
|
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: Flöha station | Statement: [Flöha, hasRailwayStation, Flöha station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flöha station Context triple: [Flöha, hasRailwayStation, Flöha station]
-
A.
Flöha station
chosen
Flöha station is a regional railway station in the town of Flöha in Saxony, Germany, serving as a local transport hub on routes connecting to the nearby city of Chemnitz.
-
B.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
C.
Hohenecken station
Hohenecken station is a local railway stop serving the Hohenecken district in the city of Kaiserslautern, Germany.
-
D.
Emmerich station
Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
-
E.
Oberlaa station
Oberlaa station is a Vienna U-Bahn station in the Oberlaa area that serves as the southern endpoint of the city's U1 metro line.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55dfa088190a59b35d0247225e3 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09086c4ec81908bc8b707a49c3ac2 |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.