Triple
T13433939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayerisch Eisenstein |
E320180
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Plattling |
E230143
|
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: Plattling | Statement: [Bayerisch Eisenstein, hasRailConnectionTo, Plattling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plattling Context triple: [Bayerisch Eisenstein, hasRailConnectionTo, Plattling]
-
A.
Plattling
chosen
Plattling is a town in southeastern Germany known for its location on the River Isar and its role as a regional transport and commercial hub.
-
B.
Vails Corners
Vails Corners is a small hamlet located within the Town of Southeast in Putnam County, New York.
-
C.
Binghamville
Binghamville is a small community or locality within the town of Fairfield in northern Vermont, United States.
-
D.
Plattville
Plattville is a small village located in Kendall County, Illinois, United States.
-
E.
Brodhead Center
Brodhead Center is a major dining and social hub on Duke University’s West Campus, featuring a variety of eateries and communal spaces for students and visitors.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.