Triple
T22246693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Miami River |
E549861
|
entity |
| Predicate | designatedAsNationalWildAndScenicRiver |
P82588
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Little Miami River, designatedAsNationalWildAndScenicRiver, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedAsNationalWildAndScenicRiver Context triple: [Little Miami River, designatedAsNationalWildAndScenicRiver, 1969]
-
A.
stateScenicRiverDesignation
Indicates that a river or river segment has been officially designated by a state as part of its scenic river system or program.
-
B.
hasWildAndScenicDesignation
chosen
Indicates that an area or waterway has been formally designated under a Wild and Scenic protection status.
-
C.
designatedAsNationalPark
Indicates that an area has been officially assigned the legal status and protections of a national park by an authorized governing body.
-
D.
nationalNaturalLandmarkDesignationYear
Indicates the year in which a place or feature was officially designated as a National Natural Landmark.
-
E.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.