Triple
T831269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grossglockner |
E17969
|
entity |
| Predicate | hasMountainHut |
P15807
|
FINISHED |
| Object |
Stüdlhütte
Stüdlhütte is a high-altitude alpine hut in the Austrian Alps that serves as a popular base for climbers ascending Grossglockner.
|
E97952
|
NE FINISHED |
How this triple was built (4 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: Stüdlhütte | Statement: [Grossglockner, hasMountainHut, Stüdlhütte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stüdlhütte Context triple: [Grossglockner, hasMountainHut, Stüdlhütte]
-
A.
Zumsteinspitze
Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
-
B.
Hallbergmoos
Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
-
C.
Blüemlisalp
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
-
D.
Konradshöhe
Konradshöhe is a leafy, riverside locality in the northwest of Berlin known for its tranquil, village-like character within the borough of Reinickendorf.
-
E.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stüdlhütte Triple: [Grossglockner, hasMountainHut, Stüdlhütte]
Generated description
Stüdlhütte is a high-altitude alpine hut in the Austrian Alps that serves as a popular base for climbers ascending Grossglockner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stüdlhütte Target entity description: Stüdlhütte is a high-altitude alpine hut in the Austrian Alps that serves as a popular base for climbers ascending Grossglockner.
-
A.
Zumsteinspitze
Zumsteinspitze is one of the high summits of the Monte Rosa massif in the Pennine Alps on the border between Switzerland and Italy.
-
B.
Hallbergmoos
Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
-
C.
Blüemlisalp
Blüemlisalp is a prominent glaciated mountain massif and popular climbing peak in the Swiss Bernese Alps.
-
D.
Konradshöhe
Konradshöhe is a leafy, riverside locality in the northwest of Berlin known for its tranquil, village-like character within the borough of Reinickendorf.
-
E.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
- F. None of above. chosen
Provenance (5 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a7799f87f08190ad393ce92c938030 |
completed | March 4, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77a2ef9d08190abc60490b4409d79 |
completed | March 4, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:38 p.m.