Triple
T950956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara Sea |
E20519
|
entity |
| Predicate | iceFreePeriod |
P7934
|
FINISHED |
| Object | mainly late summer |
—
|
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: mainly late summer | Statement: [Kara Sea, iceFreePeriod, mainly late summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceFreePeriod Context triple: [Kara Sea, iceFreePeriod, mainly late summer]
-
A.
freezesOver
Indicates that a liquid surface becomes solid due to low temperatures, typically forming a layer of ice over it.
-
B.
locationPeriod
chosen
Indicates that an entity is associated with being at a particular location during a specified time period.
-
C.
eligibilityPeriod
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
D.
frozenIn
Indicates that one entity is immobilized or preserved in a solid, frozen state within or by another entity.
-
E.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d62e408190855b2883407f6c6b |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.