Triple
T10539869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ettal Abbey |
E248666
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ettal |
E752206
|
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: Ettal | Statement: [Ettal Abbey, locatedIn, Ettal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ettal Context triple: [Ettal Abbey, locatedIn, Ettal]
-
A.
Ettal
chosen
Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
-
B.
Etten
Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
-
C.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
D.
Átta
Átta is a studio album by Icelandic post-rock band Sigur Rós, known for its ethereal soundscapes and atmospheric, orchestral arrangements.
-
E.
Tanto
Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.