Triple
T26474490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden High Street |
E665989
|
entity |
| Predicate | isCulturalAreaFor |
P160783
|
FINISHED |
| Object | alternative subcultures |
—
|
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: alternative subcultures | Statement: [Camden High Street, isCulturalAreaFor, alternative subcultures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCulturalAreaFor Context triple: [Camden High Street, isCulturalAreaFor, alternative subcultures]
-
A.
isCulturalArea
Indicates that a given area is recognized or designated as a cultural region, characterized by shared cultural traits, practices, or heritage.
-
B.
culturalAreaIncludes
Indicates that a broader cultural area encompasses or contains a smaller cultural region or entity within its scope.
-
C.
isCulturalAreaAccess
Indicates that an entity has permission or eligibility to enter or use a designated cultural area or facility.
-
D.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
E.
collectionIncludesCultureArea
Indicates that a collection contains or encompasses items, materials, or information associated with a specific culture area.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612cbbd188190bf01aede80ba1db5 |
completed | May 2, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 12:22 a.m.