Triple
T8715199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haferlschuhe |
E206875
|
entity |
| Predicate | hasOrigin |
P26
|
FINISHED |
| Object | Alpine region |
E1926
|
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: Alpine region | Statement: [Haferlschuhe, hasOrigin, Alpine region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpine region Context triple: [Haferlschuhe, hasOrigin, Alpine region]
-
A.
Alps region
chosen
The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
-
B.
Monte Rosa region
The Monte Rosa region is a high-altitude Alpine area around the Monte Rosa massif, known for its extensive ski terrain, mountaineering routes, and scenic cross-border landscapes between Italy and Switzerland.
-
C.
Alpine
Alpine is a small, affluent city at the base of the Wasatch Range in northern Utah, known for its scenic mountain views and residential character.
-
D.
Alpine
Alpine is a small city in the Big Bend region of West Texas, known as a gateway to nearby desert and mountain landscapes and home to Sul Ross State University.
-
E.
Alpine
Alpine is a French sports car manufacturer renowned for its lightweight performance vehicles and historic success in rally racing.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28d62af88190acf2d8692d73b9f5 |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:35 p.m.