Triple
T2284167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood North |
E51347
|
entity |
| Predicate | hasNotableCityFeature |
P1495
|
FINISHED |
| Object | urban landscapes used as filming locations |
—
|
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: urban landscapes used as filming locations | Statement: [Hollywood North, hasNotableCityFeature, urban landscapes used as filming locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCityFeature Context triple: [Hollywood North, hasNotableCityFeature, urban landscapes used as filming locations]
-
A.
hasNotableTown
Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
-
B.
hasUrbanFeature
chosen
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
C.
hasFamousCity
Indicates that an entity possesses or is associated with a city that is widely recognized or renowned.
-
D.
notableInCity
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
E.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.