Triple
T3181095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isar |
E66587
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Isar, flowsThrough, Plattling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plattling Context triple: [Isar, flowsThrough, 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.
Juneautown
Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
-
D.
Horicon, New York
Horicon, New York is a small rural town in the Adirondack region known for its forests, lakes, and outdoor recreation.
-
E.
Twann
Twann is a picturesque Swiss village on the shores of Lake Biel, known for its vineyards and wine-growing tradition.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6a1280c8190b59a2afd30312c02 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235fd1688819080fa1d73d2b233ba |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.