Triple
T13861782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loisach |
E333213
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Grainau |
E753799
|
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: Grainau | Statement: [Loisach, flowsThrough, Grainau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grainau Context triple: [Loisach, flowsThrough, Grainau]
-
A.
Grainau
chosen
Grainau is a Bavarian alpine village in southern Germany, known as a gateway to the Zugspitze and nearby mountain lakes.
-
B.
Graslei
Graslei is a historic quay along the Leie River in the center of Ghent, Belgium, renowned for its picturesque row of medieval guild houses and vibrant café culture.
-
C.
Kornhain
Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
-
D.
Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
-
E.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.