Triple
T17509515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charming Police Department |
E426412
|
entity |
| Predicate | hasStoryFunction |
P7328
|
FINISHED |
| Object | represents local authority in Charming |
—
|
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: represents local authority in Charming | Statement: [Charming Police Department, hasStoryFunction, represents local authority in Charming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoryFunction Context triple: [Charming Police Department, hasStoryFunction, represents local authority in Charming]
-
A.
hasStoryPath
Indicates that there exists a defined narrative route or sequence of events connecting one entity to another within a story or interactive experience.
-
B.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
C.
storyFunction
chosen
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
-
D.
hasNoProgrammaticStory
Indicates that there is no defined or implemented programmatic logic, behavior, or narrative associated with the given entity or context.
-
E.
hasStorylineType
Indicates that an entity’s storyline belongs to or is categorized under a specific type or narrative classification.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.