Triple
T20494959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaislachkogel |
E502845
|
entity |
| Predicate | hasGlacierNearby |
P43465
|
FINISHED |
| Object | Tiefenbachferner |
—
|
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: Tiefenbachferner | Statement: [Gaislachkogel, hasGlacierNearby, Tiefenbachferner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiefenbachferner Context triple: [Gaislachkogel, hasGlacierNearby, Tiefenbachferner]
-
A.
Tiefenbachferner
chosen
Tiefenbachferner is a high-altitude glacier and ski area in the Ötztal Alps of Tyrol, Austria, known for its extensive glacier skiing and reliable snow conditions.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Sulzenauferner
Sulzenauferner is a glacier in the Stubai Alps of Tyrol, Austria, known for its high-alpine scenery and popular mountaineering routes.
-
D.
Tiefenbach
Tiefenbach is a village-level subdivision of the town of Braunfels in the German state of Hesse.
-
E.
Windachferner
Windachferner is a glacier in the Stubai Alps of Tyrol, Austria, forming part of the larger Stubai Glacier ski and alpine area.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.