Triple
T8588381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11 Airmobile Brigade |
E203364
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
Schaarsbergen
Schaarsbergen is a district in the city of Arnhem in the Netherlands, known for its military facilities and surrounding woodland areas.
|
E746204
|
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: Schaarsbergen | Statement: [11 Airmobile Brigade, garrison, Schaarsbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schaarsbergen Context triple: [11 Airmobile Brigade, garrison, Schaarsbergen]
-
A.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
B.
Ubbergen
Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
-
C.
Buitenkaag
Buitenkaag is a small village in the Dutch province of North Holland, situated in the municipality of Haarlemmermeer near the Kagerplassen lake area.
-
D.
Heinenoord
Heinenoord is a village in the Dutch province of South Holland, known for its rural character and the nearby Heinenoord Tunnel under the Oude Maas river.
-
E.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
- 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: Schaarsbergen Triple: [11 Airmobile Brigade, garrison, Schaarsbergen]
Generated description
Schaarsbergen is a district in the city of Arnhem in the Netherlands, known for its military facilities and surrounding woodland areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schaarsbergen Target entity description: Schaarsbergen is a district in the city of Arnhem in the Netherlands, known for its military facilities and surrounding woodland areas.
-
A.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
B.
Ubbergen
Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
-
C.
Buitenkaag
Buitenkaag is a small village in the Dutch province of North Holland, situated in the municipality of Haarlemmermeer near the Kagerplassen lake area.
-
D.
Heinenoord
Heinenoord is a village in the Dutch province of South Holland, known for its rural character and the nearby Heinenoord Tunnel under the Oude Maas river.
-
E.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc466300bc8190aa5659a4e6a9694a |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8a51db0819097ec0f70bee31539 |
completed | April 2, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69cea996a5c48190a12ffe8e282d2d9c |
completed | April 2, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceadb2d52c8190aada1d797753663e |
completed | April 2, 2026, 5:56 p.m. |
Created at: March 30, 2026, 6:23 p.m.