Triple
T16181103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KTM |
E392684
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Mattighofen, Austria |
E953315
|
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: Mattighofen, Austria | Statement: [KTM, headquartersLocation, Mattighofen, Austria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattighofen, Austria Context triple: [KTM, headquartersLocation, Mattighofen, Austria]
-
A.
Mattighofen
chosen
Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
-
B.
Zell am See
Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
-
C.
Attersee
Attersee is a large, clear alpine lake in Upper Austria known for its scenic beauty, sailing, and diving opportunities.
-
D.
Oetz
Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
-
E.
Fuschl am See
Fuschl am See is a small lakeside town in the Austrian state of Salzburg, known for its scenic Alpine setting and as the home base of the energy drink company Red Bull.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.