Triple
T19582673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocklawaha, Florida |
E490033
|
entity |
| Predicate | lawEnforcementEventType |
P76024
|
FINISHED |
| Object | gangster-era raid |
—
|
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: gangster-era raid | Statement: [Ocklawaha, Florida, lawEnforcementEventType, gangster-era raid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawEnforcementEventType Context triple: [Ocklawaha, Florida, lawEnforcementEventType, gangster-era raid]
-
A.
notableIncidentType
chosen
Indicates the specific category or kind of significant event or incident associated with an entity.
-
B.
lawEnforcementInvolved
Indicates that law enforcement authorities are actively involved in or responding to the situation or event described.
-
C.
lawEnforcementLabel
Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
-
D.
lawEnforcementResponse
Indicates the actions or measures taken by law enforcement agencies in reaction to an incident, behavior, or situation.
-
E.
lawEnforcementContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a law enforcement setting, process, or activity.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.