Triple
T17452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence Day |
E345
|
entity |
| Predicate | season |
P1166
|
FINISHED |
| Object | summer in the Northern Hemisphere |
—
|
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: summer in the Northern Hemisphere | Statement: [Independence Day, season, summer in the Northern Hemisphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season Context triple: [Independence Day, season, summer in the Northern Hemisphere]
-
A.
year
Indicates the specific calendar year associated with an entity, event, or fact.
-
B.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
C.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
E.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
- F. None of above. chosen
Provenance (4 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a242494a548190a5776fb6cad4d4af |
completed | Feb. 28, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69a23fedf0fc8190ad99bd1da297b14d |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a242489dbc819092c100d3fbf130ef |
completed | Feb. 28, 2026, 1:18 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.