Triple
T16561041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calw district |
E402337
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Nagold |
E95811
|
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: Nagold | Statement: [Calw district, containsTown, Nagold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagold Context triple: [Calw district, containsTown, Nagold]
-
A.
Nagold
chosen
Nagold is a river in southwestern Germany that flows through the Black Forest region before joining the Enz River.
-
B.
Könnern
Könnern is a small town in the German state of Saxony-Anhalt, known for its rural character and location near the Saale River.
-
C.
Winnental
Winnental is a historical town that served as the capital of the former German territory of Württemberg-Winnental.
-
D.
Reichenau
Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
-
E.
Reichenau
Reichenau is a locality in the Swiss canton of Graubünden known as the meeting point of the Vorderrhein and Hinterrhein rivers, which together form the Rhine.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067be809c81909c93eb1253fbf8e5 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.