Triple
T34802410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper, Iowa |
E1003251
|
entity |
| Predicate | trailSystemPartOf |
P99588
|
FINISHED |
| Object | Raccoon River Valley Trail system |
—
|
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: Raccoon River Valley Trail system | Statement: [Cooper, Iowa, trailSystemPartOf, Raccoon River Valley Trail system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailSystemPartOf Context triple: [Cooper, Iowa, trailSystemPartOf, Raccoon River Valley Trail system]
-
A.
trailInfrastructure
Indicates that there is built or maintained infrastructure (such as paths, signage, or facilities) supporting the use or access of a trail between the related entities.
-
B.
trailSystemLength
Indicates the total measured length of a trail system associated with an entity.
-
C.
trailNetworkIncludes
chosen
Indicates that a specific trail network contains or encompasses a given trail segment or component as part of its overall system.
-
D.
transportNetworkPartOf
Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
-
E.
roadNetworkPartOf
Indicates that one road network segment or component is a constituent part of a larger road network.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a8adccc8190a80bb421f7a04e82 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.