Triple
T16876871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadhouder van Kleef |
E421320
|
entity |
| Predicate | hasTerritorialDesignation |
P974
|
FINISHED |
| Object |
Kleef
Kleef is a historical territory in the Holy Roman Empire, centered on the town of Kleve in present-day western Germany.
|
E1248189
|
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: Kleef | Statement: [Stadhouder van Kleef, hasTerritorialDesignation, Kleef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleef Context triple: [Stadhouder van Kleef, hasTerritorialDesignation, Kleef]
-
A.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
B.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
-
C.
Leenderbos
Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
-
D.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
E.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
- 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: Kleef Triple: [Stadhouder van Kleef, hasTerritorialDesignation, Kleef]
Generated description
Kleef is a historical territory in the Holy Roman Empire, centered on the town of Kleve in present-day western Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleef Target entity description: Kleef is a historical territory in the Holy Roman Empire, centered on the town of Kleve in present-day western Germany.
-
A.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
B.
Kortenaken
Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
-
C.
Leenderbos
Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
-
D.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
E.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f704a081909921d00b3c470472 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232992ec81909dbbd2e28111e8f4 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124ce490c81909d5cfd86b7dabb71 |
completed | May 11, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 5:29 a.m.