Triple
T9487295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna Woods |
E228792
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Schöpfl
Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
|
E801719
|
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: Schöpfl | Statement: [Vienna Woods, highestPoint, Schöpfl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schöpfl Context triple: [Vienna Woods, highestPoint, Schöpfl]
-
A.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
B.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
C.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
D.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
-
E.
Grüsch
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
- 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: Schöpfl Triple: [Vienna Woods, highestPoint, Schöpfl]
Generated description
Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schöpfl Target entity description: Schöpfl is a prominent mountain in Lower Austria known as the highest peak of the Vienna Woods range.
-
A.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
B.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
C.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
D.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
-
E.
Grüsch
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d18fd908190b562fa0a8dad7c63 |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12da44d7c8190afb11ae3009a79e5 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e1459348190aed583b2364a53dd |
completed | April 4, 2026, 3:28 p.m. |
Created at: March 30, 2026, 7:55 p.m.