Triple
T9521986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian Forest National Park |
E229665
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Grafenau |
E803881
|
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: Grafenau | Statement: [Bavarian Forest National Park, nearestCity, Grafenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafenau Context triple: [Bavarian Forest National Park, nearestCity, Grafenau]
-
A.
Grafenau
chosen
Grafenau is a small Bavarian town in southeastern Germany known as a gateway to the Bavarian Forest National Park.
-
B.
Grindon
Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
-
C.
Fruithurst
Fruithurst is a small town in eastern Alabama, known historically for its fruit-growing and wine-making community.
-
D.
Rippingale
Rippingale is a rural village and civil parish in the South Kesteven district of Lincolnshire, England.
-
E.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989788e4819086c235bf37a56b04 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c1f10748190a36d2092d593be97 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:59 p.m.