Triple
T17528133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleasant Lake (water body) |
E426856
|
entity |
| Predicate | hasSurroundingFeatureType |
P85343
|
FINISHED |
| Object | geographic features |
—
|
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: geographic features | Statement: [Pleasant Lake (water body), hasSurroundingFeatureType, geographic features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingFeatureType Context triple: [Pleasant Lake (water body), hasSurroundingFeatureType, geographic features]
-
A.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
B.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
C.
hasNearbyLandscapeType
chosen
Indicates that one entity is located close to, or in the vicinity of, a particular type of landscape.
-
D.
hasSurfaceFeatureState
Indicates that an entity currently exhibits a particular condition or status of one of its surface features.
-
E.
includesFeatureTypes
Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d81a808190ab38831ea5b73b74 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.