Triple
T29641209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Crown Victoria |
E755864
|
entity |
| Predicate | commonUsePeriodAsPoliceCar |
P193605
|
FINISHED |
| Object | 1990s–2010s |
—
|
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: 1990s–2010s | Statement: [Ford Crown Victoria, commonUsePeriodAsPoliceCar, 1990s–2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonUsePeriodAsPoliceCar Context triple: [Ford Crown Victoria, commonUsePeriodAsPoliceCar, 1990s–2010s]
-
A.
usedPoliticalVehicle
Indicates that an entity employed a political organization, campaign, or platform as a means or instrument to achieve its goals or carry out actions.
-
B.
policeUnit
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
-
C.
usesMarkedVehicles
Indicates that an entity carries out its activities or operations using vehicles that are visibly marked or identified for that purpose.
-
D.
hasPolicePartner
Indicates that one entity has another entity as its partner in a police or law-enforcement context.
-
E.
peakCivilianPolice
Indicates the highest recorded number of civilian police personnel present or deployed in a given context or operation.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: April 28, 2026, 6:47 p.m.