Triple
T27373088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shungnak, Alaska |
E690381
|
entity |
| Predicate | hasAverageCondition |
P72526
|
FINISHED |
| Object | short, cool summers |
—
|
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: short, cool summers | Statement: [Shungnak, Alaska, hasAverageCondition, short, cool summers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageCondition Context triple: [Shungnak, Alaska, hasAverageCondition, short, cool summers]
-
A.
hasTypicalConditions
chosen
Indicates that something is associated with conditions or circumstances that are commonly or normally present for it.
-
B.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
C.
hasNaturalCondition
Indicates that an entity possesses or is subject to a particular natural state, feature, or condition inherent to its environment or biology.
-
D.
hasAverageGrade
Indicates that an entity (such as a student, course, or class) is associated with a specific computed mean value of its individual grades.
-
E.
hasConditionalityLevel
Indicates that one entity is associated with a specific degree or level of conditional requirements, constraints, or dependencies relative to another entity or context.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:19 p.m.