Triple
T14970119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasanoa River |
E373293
|
entity |
| Predicate | hasCurrentCharacteristic |
P47583
|
FINISHED |
| Object | strong tidal currents |
—
|
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: strong tidal currents | Statement: [Sasanoa River, hasCurrentCharacteristic, strong tidal currents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentCharacteristic Context triple: [Sasanoa River, hasCurrentCharacteristic, strong tidal currents]
-
A.
hasCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
B.
hasCurrentCharacter
Indicates that an entity is associated with or possesses a specific character that is currently active or in use.
-
C.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
-
D.
hasCharacteristicArtifact
Indicates that an entity is associated with a specific artifact that characterizes, exemplifies, or is typical of it.
-
E.
hasNavigationCharacteristic
chosen
Indicates that an entity possesses a specific property, feature, or quality related to navigation or navigational behavior.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:49 a.m.