Triple
T13563247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eder River |
E323962
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Waldeck |
E41198
|
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: Waldeck | Statement: [Eder River, flowsNear, Waldeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldeck Context triple: [Eder River, flowsNear, Waldeck]
-
A.
Waldeck
chosen
Waldeck was a small German principality whose soldiers, like the Hessian troops, were hired out as auxiliaries to foreign powers in the 18th century.
-
B.
Minna Waldeck
Minna Waldeck was the wife of renowned German mathematician and scientist Carl Friedrich Gauss.
-
C.
Ferdinand Sarrien
Ferdinand Sarrien was a French Third Republic politician and statesman who served as Prime Minister and played a key role in the moderate republican movement.
-
D.
Briand
Briand is a French surname most notably borne by Aristide Briand, a prominent early 20th-century statesman and Nobel Peace Prize laureate.
-
E.
Andrésy
Andrésy is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dad601481908de5f266f01f3f49 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.