Triple
T13380413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlsplatz |
E319301
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Resselpark |
E1035537
|
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: Resselpark | Statement: [Karlsplatz, hasGreenSpace, Resselpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Resselpark Context triple: [Karlsplatz, hasGreenSpace, Resselpark]
-
A.
Resselpark
chosen
Resselpark is a central Vienna city park known for its green spaces, sculptures, and proximity to major cultural and architectural landmarks.
-
B.
Rathauspark
Rathauspark is a central Vienna public park known for its green spaces, seasonal events, and its location in front of the historic City Hall.
-
C.
Rombergpark
Rombergpark is a large botanical garden and public park in Dortmund, Germany, known for its diverse plant collections and landscaped grounds.
-
D.
Doblhoffpark
Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
-
E.
Stadtpark
Stadtpark is a large, historic public park in central Vienna, Austria, known for its landscaped gardens and famous monuments such as the Johann Strauss II statue.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268b09808190b4ffd1db72e1f1f1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.