Triple
T29695240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linn County secondary roads system |
E751330
|
entity |
| Predicate | hasMaintenanceActivity |
P71131
|
FINISHED |
| Object | grading of gravel roads |
—
|
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: grading of gravel roads | Statement: [Linn County secondary roads system, hasMaintenanceActivity, grading of gravel roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaintenanceActivity Context triple: [Linn County secondary roads system, hasMaintenanceActivity, grading of gravel roads]
-
A.
hasMaintenance
chosen
Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
-
B.
hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
-
C.
has activity
Indicates that one entity performs, exhibits, or is engaged in a particular action, behavior, or process associated with another entity.
-
D.
hasMaintained
Indicates that an entity has continued to keep another entity in a particular state, condition, or relationship over a period of time.
-
E.
hasRecentActivity
Indicates that the subject has performed an action or been involved in an event within a defined recent time period.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 28, 2026, 7:19 p.m.