Triple
T4045460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berg en Dal |
E84054
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
|
E408458
|
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: Breedeweg | Statement: [Berg en Dal, contains, Breedeweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breedeweg Context triple: [Berg en Dal, contains, Breedeweg]
-
A.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
B.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
C.
Westerstraat
Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
-
D.
Buiksloterweg
Buiksloterweg is a neighborhood and ferry landing on the northern bank of the IJ in Amsterdam, serving as a key access point between Amsterdam-Noord and the city center.
-
E.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
- 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: Breedeweg Triple: [Berg en Dal, contains, Breedeweg]
Generated description
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Breedeweg Target entity description: Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
A.
Bezuidenhoutseweg
Bezuidenhoutseweg is a major street in The Hague, Netherlands, known for its government buildings, offices, and proximity to key city landmarks.
-
B.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
C.
Westerstraat
Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
-
D.
Buiksloterweg
Buiksloterweg is a neighborhood and ferry landing on the northern bank of the IJ in Amsterdam, serving as a key access point between Amsterdam-Noord and the city center.
-
E.
Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556fec4708190b221893ec35f1a38 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557f73cbc8190b904089ab0fa97d6 |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.