Triple
T20168587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großvenediger |
E491892
|
entity |
| Predicate | hasGlaciers |
P1094
|
FINISHED |
| Object | Obersulzbachkees |
—
|
NE NERFINISHED |
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: Obersulzbachkees | Statement: [Großvenediger, hasGlaciers, Obersulzbachkees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obersulzbachkees Context triple: [Großvenediger, hasGlaciers, Obersulzbachkees]
-
A.
Obersulzbachkees
chosen
Obersulzbachkees is a notable alpine glacier located in the Hohe Tauern range of the Central Eastern Alps in Austria.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Reyersbach
Reyersbach is the original German family name of H. A. Rey, the German-born American illustrator and co-creator of the "Curious George" children's books.
-
D.
Obergriesbach
Obergriesbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
-
E.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66846f4ec81908b0dc6a6e0ec27dd |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.