Triple
T8179811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Blue Line |
E191028
|
entity |
| Predicate | hasPoliceTheme |
P81289
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Thin Blue Line, hasPoliceTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceTheme Context triple: [The Thin Blue Line, hasPoliceTheme, yes]
-
A.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
B.
policeCharacter
Indicates that one entity serves as a police officer or law-enforcement figure in relation to another entity.
-
C.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
D.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
E.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4abd9768819091298e4dd995ac96 |
completed | March 31, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.