Triple
T5509572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Wolden |
E144528
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
IJhorst
IJhorst is a village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
|
E528350
|
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: IJhorst | Statement: [De Wolden, hasPart, IJhorst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJhorst Context triple: [De Wolden, hasPart, IJhorst]
-
A.
De Horst
De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
-
B.
Horst
Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
-
C.
Houben
Houben is a Dutch surname borne by various notable individuals, including architect Francine Houben.
-
D.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
E.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
- 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: IJhorst Triple: [De Wolden, hasPart, IJhorst]
Generated description
IJhorst is a village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IJhorst Target entity description: IJhorst is a village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
A.
De Horst
De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
-
B.
Horst
Horst is the taxpayer involved as the respondent in the landmark U.S. Supreme Court tax case Helvering v. Horst, which helped define the assignment-of-income doctrine.
-
C.
Houben
Houben is a Dutch surname borne by various notable individuals, including architect Francine Houben.
-
D.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
E.
Osthoff
Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4ba90c8190ad22e5de84c545f9 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c4b6c0819086c7c64911c7106e |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.