Triple
T7513578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somers Town |
E177584
|
entity |
| Predicate | hasAgeRating |
P36218
|
FINISHED |
| Object | 15 (BBFC) |
—
|
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: 15 (BBFC) | Statement: [Somers Town, hasAgeRating, 15 (BBFC)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeRating Context triple: [Somers Town, hasAgeRating, 15 (BBFC)]
-
A.
ageRatingSystem
Indicates the classification scheme or standard used to assign age-appropriateness ratings to content.
-
B.
hasContentRating
chosen
Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
-
C.
hasAdultRank
Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
-
D.
USRating
Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
-
E.
mpaaRating
Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
- F. None of above.
Provenance (3 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d6ccb08190a568a9b58bfbd0cc |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.