Triple
T304379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haarlemmermeer |
E6265
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Kaag en Braassem
Kaag en Braassem is a municipality in the Dutch province of South Holland known for its lakes, waterways, and water sports tourism.
|
E39152
|
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: Kaag en Braassem | Statement: [Haarlemmermeer, borders, Kaag en Braassem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaag en Braassem Context triple: [Haarlemmermeer, borders, Kaag en Braassem]
-
A.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
-
B.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
C.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
D.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
E.
Bloemenmarkt
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
- 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: Kaag en Braassem Triple: [Haarlemmermeer, borders, Kaag en Braassem]
Generated description
Kaag en Braassem is a municipality in the Dutch province of South Holland known for its lakes, waterways, and water sports tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaag en Braassem Target entity description: Kaag en Braassem is a municipality in the Dutch province of South Holland known for its lakes, waterways, and water sports tourism.
-
A.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
-
B.
De Croo
De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
-
C.
Vilvoorde
Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
-
D.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
-
E.
Bloemenmarkt
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea1032e48190864338e030d9dc92 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b07566c88190af82b1953902b613 |
completed | March 1, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69a3b0d63cd081908a8e1ce6e24b7a8f |
completed | March 1, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b13a9cdc81908b2f125f8ddede8f |
completed | March 1, 2026, 3:23 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.