Triple
T19341278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine River in Düsseldorf |
E483760
|
entity |
| Predicate | hasStructureOnBank |
P8340
|
FINISHED |
| Object | Rheinturm |
—
|
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: Rheinturm | Statement: [Rhine River in Düsseldorf, hasStructureOnBank, Rheinturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheinturm Context triple: [Rhine River in Düsseldorf, hasStructureOnBank, Rheinturm]
-
A.
Rheinturm
chosen
Rheinturm is a prominent telecommunications tower and observation landmark on the Rhine River, offering panoramic views of Düsseldorf and its surroundings.
-
B.
Rheintorturm
Rheintorturm is a historic riverside tower and former city gate in Konstanz, Germany, notable for its medieval architecture and role in the town’s fortifications.
-
C.
Frankfurt Main Tower
Frankfurt Main Tower is a prominent modern skyscraper in Frankfurt, Germany, known for its distinctive design and public observation deck offering panoramic city views.
-
D.
Reichenturm
Reichenturm is a historic leaning tower and prominent medieval landmark in the Saxon town of Bautzen, Germany.
-
E.
Metzgerturm
Metzgerturm is a historic medieval tower in Ulm, Germany, known as one of the city’s iconic fortification landmarks.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.