Triple
T32044084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilltop, Minnesota |
E818290
|
entity |
| Predicate | hasFireServicesContractedFrom |
P62810
|
FINISHED |
| Object | Columbia Heights, Minnesota |
—
|
NE NERFINISHED |
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: Columbia Heights, Minnesota | Statement: [Hilltop, Minnesota, hasFireServicesContractedFrom, Columbia Heights, Minnesota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFireServicesContractedFrom Context triple: [Hilltop, Minnesota, hasFireServicesContractedFrom, Columbia Heights, Minnesota]
-
A.
hasFireServicesFrom
chosen
Indicates that one entity receives fire protection or firefighting services from another entity.
-
B.
hasFireRescueService
Indicates that an entity is served by, or responsible for providing, a fire and rescue service.
-
C.
hasFireAndRescueServiceCategory
Indicates the specific fire and rescue service classification or category assigned to an entity, such as a building, facility, or site.
-
D.
hasRuralFireServiceBrigade
Indicates that a specified area or jurisdiction is served by a particular rural fire service brigade.
-
E.
hasRescueServices
Indicates that one entity provides or is equipped with rescue or emergency response services for another entity or area.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 1, 2026, 12:19 a.m.