Triple
T223171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Light District (Amsterdam) |
E4260
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Wallen
Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
|
E30639
|
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: Wallen | Statement: [Red Light District (Amsterdam), alsoKnownAs, Wallen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallen Context triple: [Red Light District (Amsterdam), alsoKnownAs, Wallen]
-
A.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Jonas
Jonas is a masculine given name of Hebrew origin, commonly used in various European countries and often associated with the biblical figure Jonah.
-
D.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
E.
Hunter Brook
Hunter Brook is a small tributary stream that feeds into New York’s Croton River within the Croton River watershed.
- 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: Wallen Triple: [Red Light District (Amsterdam), alsoKnownAs, Wallen]
Generated description
Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wallen Target entity description: Wallen is the colloquial Dutch name for Amsterdam’s famous Red Light District, known for its historic canals, legalized prostitution, and vibrant nightlife.
-
A.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Jonas
Jonas is a masculine given name of Hebrew origin, commonly used in various European countries and often associated with the biblical figure Jonah.
-
D.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
E.
Hunter Brook
Hunter Brook is a small tributary stream that feeds into New York’s Croton River within the Croton River watershed.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c7194fc8190a2d02d446ae3a75e |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36730f0a88190aac3d2e796ee544f |
completed | Feb. 28, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69a3678a8c988190895796b2e3de3021 |
completed | Feb. 28, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3687171208190b470610bf2a2268e |
completed | Feb. 28, 2026, 10:13 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.