Triple
T14651923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariazell |
E344008
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Erlaufsee lake |
E1114881
|
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: Erlaufsee lake | Statement: [Mariazell, touristAttraction, Erlaufsee lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlaufsee lake Context triple: [Mariazell, touristAttraction, Erlaufsee lake]
-
A.
Erlaufsee lake
chosen
Erlaufsee lake is a scenic alpine lake in Austria known for its clear waters, recreational activities, and proximity to the pilgrimage town of Mariazell.
-
B.
Lungernsee
Lungernsee is a picturesque alpine lake in the canton of Obwalden, Switzerland, known for its turquoise waters, surrounding mountain scenery, and popular hiking and recreation opportunities.
-
C.
Kleinhesseloher See
Kleinhesseloher See is a scenic artificial lake in Munich’s Englischer Garten, popular for boating, walking, and relaxing by the water.
-
D.
Bannwaldsee
Bannwaldsee is a scenic lake in the Ostallgäu region of Bavaria, Germany, known for its natural surroundings and recreational opportunities.
-
E.
Spullersee
Spullersee is a high-altitude reservoir lake in the Austrian Alps, known for its scenic mountain setting and use in regional hydroelectric power generation.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb517e7648190b9fc73d6cdbb68de |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7ab30c8190af49268b6f93aeb1 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.