Triple
T21688256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southgate River basin |
E535288
|
entity |
| Predicate | reliefCharacteristic |
P22470
|
FINISHED |
| Object | steep slopes |
—
|
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: steep slopes | Statement: [Southgate River basin, reliefCharacteristic, steep slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reliefCharacteristic Context triple: [Southgate River basin, reliefCharacteristic, steep slopes]
-
A.
hasReliefFeature
chosen
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
-
B.
typeOfReliefAtIssue
Indicates the specific kind or category of legal relief or remedy that is being sought or contested in a given matter.
-
C.
relief
Indicates a state or action in which distress, pain, or difficulty is reduced, eased, or removed for an entity.
-
D.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
E.
hasRelativeRelief
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:44 p.m.