Triple
T13544008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhenen |
E323464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grebbeberg
Grebbeberg is a hill and historic battlefield in the Netherlands, known especially for the fierce fighting that took place there during the German invasion in May 1940.
|
E1046450
|
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: Grebbeberg | Statement: [Rhenen, contains, Grebbeberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grebbeberg Context triple: [Rhenen, contains, Grebbeberg]
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
C.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
D.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
E.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
- 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: Grebbeberg Triple: [Rhenen, contains, Grebbeberg]
Generated description
Grebbeberg is a hill and historic battlefield in the Netherlands, known especially for the fierce fighting that took place there during the German invasion in May 1940.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grebbeberg Target entity description: Grebbeberg is a hill and historic battlefield in the Netherlands, known especially for the fierce fighting that took place there during the German invasion in May 1940.
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Heilsberg
Heilsberg is a historic town in northeastern Poland, known today as Lidzbark Warmiński, that was the site of significant medieval and Napoleonic-era military engagements.
-
C.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
D.
Valberg
Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
-
E.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafda36248190acabde65a88c5471 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da094288190aff108b006c3da1f |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75f2c645481909c3e5ecdd239965d |
completed | May 3, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f8e9b608190830ab942098a798c |
completed | May 3, 2026, 2:45 p.m. |
Created at: April 9, 2026, 9:45 p.m.