Triple
T4484161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N57 |
E107194
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Burgh-Haamstede
Burgh-Haamstede is a coastal village on the Dutch island of Schouwen-Duiveland in Zeeland, known for its beaches, dunes, and nearby nature reserves.
|
E446661
|
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: Burgh-Haamstede | Statement: [N57, passesNear, Burgh-Haamstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgh-Haamstede Context triple: [N57, passesNear, Burgh-Haamstede]
-
A.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
B.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
-
C.
Heiligenhaus
Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
-
D.
Culemborg
Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
-
E.
Rijkevoort
Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
- 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: Burgh-Haamstede Triple: [N57, passesNear, Burgh-Haamstede]
Generated description
Burgh-Haamstede is a coastal village on the Dutch island of Schouwen-Duiveland in Zeeland, known for its beaches, dunes, and nearby nature reserves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgh-Haamstede Target entity description: Burgh-Haamstede is a coastal village on the Dutch island of Schouwen-Duiveland in Zeeland, known for its beaches, dunes, and nearby nature reserves.
-
A.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
B.
Zutphen
Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
-
C.
Heiligenhaus
Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
-
D.
Culemborg
Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
-
E.
Rijkevoort
Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52a54c6c8190a7421bea6e3c00f1 |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd679792f48190a19ce4ab91cab3bc |
completed | March 20, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_69bd6a1e07208190aab48ee3e7b7728a |
completed | March 20, 2026, 3:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd6a8d928c8190b2208431df458863 |
completed | March 20, 2026, 3:41 p.m. |
Created at: March 20, 2026, 12:58 p.m.