Triple
T5952527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerveld |
E132431
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Westeinde
Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
|
E561973
|
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: Westeinde | Statement: [Westerveld, contains, Westeinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westeinde Context triple: [Westerveld, contains, Westeinde]
-
A.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
B.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
-
C.
Zuidland
Zuidland is a village in the western Netherlands, located in the province of South Holland.
-
D.
Ameland
Ameland is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination in the northern Netherlands.
-
E.
Lessines
Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
- 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: Westeinde Triple: [Westerveld, contains, Westeinde]
Generated description
Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westeinde Target entity description: Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
-
A.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
B.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
-
C.
Zuidland
Zuidland is a village in the western Netherlands, located in the province of South Holland.
-
D.
Ameland
Ameland is a Dutch Wadden Sea island known for its sandy beaches, dunes, and nature reserves, popular as a holiday destination in the northern Netherlands.
-
E.
Lessines
Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03983b8848190afaa37f35c95bad6 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1082d00308190a8e92bb633e7f292 |
completed | March 23, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69c10a15b9e08190be8b559e467d1d8c |
completed | March 23, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10aaf299481909d0e824a126381e3 |
completed | March 23, 2026, 9:41 a.m. |
Created at: March 22, 2026, 4:02 p.m.