Triple
T2538647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prater |
E56329
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Praterstern |
E56329
|
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: Praterstern | Statement: [Prater, hasPart, Praterstern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praterstern Context triple: [Prater, hasPart, Praterstern]
-
A.
Prater
chosen
Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
-
B.
Altkönig
Altkönig is a prominent mountain peak in Germany’s Taunus range, known for its scenic hiking trails and remains of ancient Celtic fortifications.
-
C.
Felsenkirche
Felsenkirche is a historic hilltop Lutheran church in Lüderitz, Namibia, known for its striking Gothic Revival architecture and panoramic views over the coastal town.
-
D.
Holbeinsteg
Holbeinsteg is a pedestrian suspension bridge over the River Main in Frankfurt, Germany, linking the museum district on the south bank with the city center.
-
E.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd298fc2481908b2925bf6a06532b |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cfc54cc8190bb43b54f873ffa63 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.