Triple
T5749744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antwerp Province |
E126820
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hoogstraten
Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
|
E543571
|
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: Hoogstraten | Statement: [Antwerp Province, hasMunicipality, Hoogstraten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoogstraten Context triple: [Antwerp Province, hasMunicipality, Hoogstraten]
-
A.
Wernhout
Wernhout is a village in the Dutch province of North Brabant, located within the municipality of Zundert near the Belgian border.
-
B.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
E.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
- 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: Hoogstraten Triple: [Antwerp Province, hasMunicipality, Hoogstraten]
Generated description
Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoogstraten Target entity description: Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
-
A.
Wernhout
Wernhout is a village in the Dutch province of North Brabant, located within the municipality of Zundert near the Belgian border.
-
B.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
D.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
E.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e358d908190a37e5df89df3aedc |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c089020764819090a1927c65f9e870 |
completed | March 23, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0897b75e481909adc413fa73e9496 |
completed | March 23, 2026, 12:29 a.m. |
Created at: March 22, 2026, 3:48 p.m.