Triple
T21513146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U1 |
E530776
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Gleisdreieck |
E1127679
|
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: Gleisdreieck | Statement: [U1, hasStation, Gleisdreieck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gleisdreieck Context triple: [U1, hasStation, Gleisdreieck]
-
A.
Südkreuz
Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
-
B.
Gleisdreieck railway area
chosen
The Gleisdreieck railway area is a former rail junction in Berlin that has been transformed into a major urban park and transport hub, known for its green spaces, elevated tracks, and intersecting U-Bahn lines.
-
C.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Sternschanze
Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
-
E.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e145ac5c8190a05cc2a80d28cac3 |
completed | May 17, 2026, 3:39 p.m. |
Created at: April 16, 2026, 6:25 p.m.