Triple
T3938527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bridge Heidelberg |
E90972
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Philosophenweg Heidelberg |
E89960
|
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: Philosophenweg Heidelberg | Statement: [Old Bridge Heidelberg, hasNearbyLandmark, Philosophenweg Heidelberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philosophenweg Heidelberg Context triple: [Old Bridge Heidelberg, hasNearbyLandmark, Philosophenweg Heidelberg]
-
A.
Philosophenweg
chosen
Philosophenweg is a scenic hillside path in Heidelberg, Germany, famed for its panoramic views of the old town and Heidelberg Castle.
-
B.
Hornschuchpromenade
Hornschuchpromenade is a historic, tree-lined boulevard in Fürth, Germany, known for its impressive Wilhelminian-style architecture and prominent residential buildings.
-
C.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
D.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
E.
Bockenheim
Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528922a548190a8e5339deacaefd9 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:24 p.m.