Triple
T31552181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solon, Iowa |
E805033
|
entity |
| Predicate | hasStateRecreationAreaNearby |
P44234
|
FINISHED |
| Object | Sugar Bottom Recreation Area |
—
|
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: Sugar Bottom Recreation Area | Statement: [Solon, Iowa, hasStateRecreationAreaNearby, Sugar Bottom Recreation Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStateRecreationAreaNearby Context triple: [Solon, Iowa, hasStateRecreationAreaNearby, Sugar Bottom Recreation Area]
-
A.
hasRecreationAreaName
Indicates that a recreation area is associated with a specific name or designation.
-
B.
isCentralRecreationAreaFor
Indicates that one location serves as the primary or main recreational area for another place or community.
-
C.
hasNearbyStatePark
chosen
Indicates that a location is situated close to at least one designated state park.
-
D.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
E.
hasStateParkWithin
Indicates that one geographic or administrative area contains at least one state park located within its boundaries.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
Created at: April 30, 2026, 10:11 p.m.