Triple
T223195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Light District (Amsterdam) |
E4260
|
entity |
| Predicate | legalStatusOfProstitution |
P8349
|
FINISHED |
| Object | legal and regulated |
—
|
LITERAL 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: legal and regulated | Statement: [Red Light District (Amsterdam), legalStatusOfProstitution, legal and regulated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfProstitution Context triple: [Red Light District (Amsterdam), legalStatusOfProstitution, legal and regulated]
-
A.
legalStatusOfSlavery
Indicates the legal condition or permissibility of slavery within a given jurisdiction, time, or context.
-
B.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
C.
criminalStatus
Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
-
D.
legalStatusOfReligion
Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
-
E.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.