Triple
T6560722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krimpenerwaard |
E152574
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Benedenberg
Benedenberg is a small village in the Dutch province of South Holland, located within the municipality of Krimpenerwaard.
|
E600261
|
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: Benedenberg | Statement: [Krimpenerwaard, containsSettlement, Benedenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedenberg Context triple: [Krimpenerwaard, containsSettlement, Benedenberg]
-
A.
Budenholzer
Budenholzer is the surname of Mike Budenholzer, an American professional basketball coach best known for leading the Milwaukee Bucks to the 2021 NBA championship.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Adler Mannheim
Adler Mannheim is a professional ice hockey team from Mannheim, Germany, known as one of the most successful and popular clubs in German ice hockey.
-
D.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
E.
Bamberger
Bamberger is a German-origin surname notably associated with the American philanthropist and department-store co-founder Caroline Bamberger Fuld.
- 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: Benedenberg Triple: [Krimpenerwaard, containsSettlement, Benedenberg]
Generated description
Benedenberg is a small village in the Dutch province of South Holland, located within the municipality of Krimpenerwaard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benedenberg Target entity description: Benedenberg is a small village in the Dutch province of South Holland, located within the municipality of Krimpenerwaard.
-
A.
Budenholzer
Budenholzer is the surname of Mike Budenholzer, an American professional basketball coach best known for leading the Milwaukee Bucks to the 2021 NBA championship.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Adler Mannheim
Adler Mannheim is a professional ice hockey team from Mannheim, Germany, known as one of the most successful and popular clubs in German ice hockey.
-
D.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
E.
Bamberger
Bamberger is a German-origin surname notably associated with the American philanthropist and department-store co-founder Caroline Bamberger Fuld.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69c6cd05c54c81908bb612e7976bd10a |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdc3ea7c8190b63e9a19721fea80 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:52 p.m.