Triple
T4670857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubai Alps |
E102957
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Zuckerhütl |
E460812
|
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: Zuckerhütl | Statement: [Stubai Alps, hasPeak, Zuckerhütl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuckerhütl Context triple: [Stubai Alps, hasPeak, Zuckerhütl]
-
A.
Zuckerhütl
chosen
Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
-
B.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
-
C.
Susz
Susz is a small town in northern Poland known for its lakes and forests, situated within the Warmian-Masurian Voivodeship.
-
D.
Haselünne
Haselünne is a small historic town in Lower Saxony, Germany, known for its traditional grain distilleries and picturesque setting along the Hase River.
-
E.
Heunisch Weiss
Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be104a596c8190903c208c892da186 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:15 p.m.