Triple
T21363978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Heusden |
E526859
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Heesbeen
Heesbeen is a small village in the Dutch province of North Brabant, historically part of the Land van Heusden region.
|
E1480274
|
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: Heesbeen | Statement: [Land van Heusden, contains, Heesbeen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heesbeen Context triple: [Land van Heusden, contains, Heesbeen]
-
A.
Beckeln
Beckeln is a small municipality in Lower Saxony, Germany, known for its rural character and agricultural surroundings.
-
B.
Denmead
Denmead is a large village and civil parish in Hampshire, England, situated near Waterlooville and on the edge of the South Downs.
-
C.
Burdaard
Burdaard is a small village in the Dutch province of Friesland, known for its traditional windmill and location along the Dokkumer Ee canal.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Kebek
Kebek was a Chagatai Khanate ruler in Central Asia during the early 14th century, noted for administrative reforms and efforts to stabilize his realm.
- 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: Heesbeen Triple: [Land van Heusden, contains, Heesbeen]
Generated description
Heesbeen is a small village in the Dutch province of North Brabant, historically part of the Land van Heusden region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heesbeen Target entity description: Heesbeen is a small village in the Dutch province of North Brabant, historically part of the Land van Heusden region.
-
A.
Beckeln
Beckeln is a small municipality in Lower Saxony, Germany, known for its rural character and agricultural surroundings.
-
B.
Denmead
Denmead is a large village and civil parish in Hampshire, England, situated near Waterlooville and on the edge of the South Downs.
-
C.
Burdaard
Burdaard is a small village in the Dutch province of Friesland, known for its traditional windmill and location along the Dokkumer Ee canal.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Kebek
Kebek was a Chagatai Khanate ruler in Central Asia during the early 14th century, noted for administrative reforms and efforts to stabilize his realm.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06d6dcc8190b438d3c2e620578c |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6be0708190811bb7a10b1b7756 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 5:08 p.m.