Triple
T27938681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to Marwencol |
E700681
|
entity |
| Predicate | hasSetting |
P3538
|
FINISHED |
| Object |
fictional Belgian town of Marwencol
The fictional Belgian town of Marwencol is an intricately crafted miniature World War II-era village created by artist Mark Hogancamp as the central setting for his autobiographical art project and the documentary "Welcome to Marwencol."
|
E1796785
|
NE FINISHED |
How this triple was built (2 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: fictional Belgian town of Marwencol | Statement: [Welcome to Marwencol, hasSetting, fictional Belgian town of Marwencol]
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: fictional Belgian town of Marwencol Triple: [Welcome to Marwencol, hasSetting, fictional Belgian town of Marwencol]
Generated description
The fictional Belgian town of Marwencol is an intricately crafted miniature World War II-era village created by artist Mark Hogancamp as the central setting for his autobiographical art project and the documentary "Welcome to Marwencol."
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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63aa191908190ad9ae841275eaca3 |
completed | May 2, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13115e6824819092ad4350dda5b18f |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a131204bd18819095bb9ad4af5945bf |
completed | May 24, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1313b4fa4c81909b37b7a51f926f45 |
completed | May 24, 2026, 3:05 p.m. |
Created at: April 27, 2026, 7:15 p.m.