Triple
T20748780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zell am See District |
E510661
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Leogang |
—
|
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: Leogang | Statement: [Zell am See District, contains, Leogang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leogang Context triple: [Zell am See District, contains, Leogang]
-
A.
Leogang
chosen
Leogang is an Austrian alpine village in the state of Salzburg, known for its ski resort, mountain biking park, and scenic mountain landscapes.
-
B.
Arbengrat
Arbengrat is a prominent alpine ridge associated with the Ober Gabelhorn in the Swiss Alps, known as one of its main climbing routes.
-
C.
Lögberg
Lögberg is the historic Law Rock at Þingvellir in Iceland, where the Althing, one of the world’s oldest parliaments, traditionally convened and laws were proclaimed.
-
D.
Sunnegga
Sunnegga is a popular alpine viewpoint and family-friendly ski and hiking area above Zermatt in the Swiss Alps, offering panoramic views of the Matterhorn.
-
E.
Egertorget
Egertorget is a central public square and popular meeting point in downtown Oslo, Norway, known for its shops, street life, and role as a hub along the city’s main thoroughfare.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c228af288190a20829d45c034c24 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.