Triple
T4918537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raggeds Wilderness |
E110404
|
entity |
| Predicate | containsWaterFeature |
P19308
|
FINISHED |
| Object | Crystal River headwaters area |
—
|
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: Crystal River headwaters area | Statement: [Raggeds Wilderness, containsWaterFeature, Crystal River headwaters area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsWaterFeature Context triple: [Raggeds Wilderness, containsWaterFeature, Crystal River headwaters area]
-
A.
hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
-
B.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
C.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
D.
hasAreaWaterBody
chosen
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
E.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa8be048190892dfaba4d865ee1 |
completed | March 20, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.