Triple
T5338062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riedholz |
E123873
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Flumenthal |
E144083
|
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: Flumenthal | Statement: [Riedholz, hasNeighboringMunicipality, Flumenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flumenthal Context triple: [Riedholz, hasNeighboringMunicipality, Flumenthal]
-
A.
Flumenthal
chosen
Flumenthal is a municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Vogelthal
Vogelthal is a small village in Bavaria, Germany, known as the birthplace of World War II tank commander Michael Wittmann.
-
C.
Lobethal
Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
-
D.
Glan
Glan is a coastal municipality in the province of Sarangani on the island of Mindanao in the Philippines, known for its white-sand beaches and coconut-fringed shoreline.
-
E.
Bendemeer
Bendemeer is a small rural village in New South Wales, Australia, situated in the New England region north of Tamworth.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c6ec008190ad7a8a54360387d8 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21c20364819093387aa0e60b4291 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 2 p.m.