Triple
T5485833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Destination film series |
E123577
|
entity |
| Predicate | frequentSettingType |
P64318
|
FINISHED |
| Object | contemporary American 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: contemporary American locations | Statement: [Final Destination film series, frequentSettingType, contemporary American locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentSettingType Context triple: [Final Destination film series, frequentSettingType, contemporary American locations]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
C.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
D.
frequentOccasion
Indicates that a particular event, situation, or condition occurs repeatedly or commonly over time.
-
E.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd93e4d2d081908eb75ee22fe72824 |
completed | March 20, 2026, 6:37 p.m. |
Created at: March 20, 2026, 2:10 p.m.