Triple
T4679547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nares Strait |
E103764
|
entity |
| Predicate | hasStrongCurrents |
P20619
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nares Strait, hasStrongCurrents, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongCurrents Context triple: [Nares Strait, hasStrongCurrents, yes]
-
A.
hasStrongCurrent
chosen
Indicates that one entity (typically a body of water or medium) possesses a powerful, fast-moving flow or current relative to a reference point or standard.
-
B.
oceanCurrent
Indicates the flow of seawater in a consistent direction driven by factors like wind, temperature, and salinity.
-
C.
hasSeaCondition
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
D.
hasRiverActivity
Indicates that an entity engages in, supports, or is associated with activities occurring on or along a river.
-
E.
hasMajorCurrent
Indicates that an entity currently has a primary field of study or specialization.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.