Triple
T23738073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Rat |
E586589
|
entity |
| Predicate | associatedWithSeasonPhase |
P144678
|
FINISHED |
| Object | Winter beginning |
—
|
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: Winter beginning | Statement: [Year of the Rat, associatedWithSeasonPhase, Winter beginning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSeasonPhase Context triple: [Year of the Rat, associatedWithSeasonPhase, Winter beginning]
-
A.
belongsToSeason
Indicates that something is associated with, occurs in, or is classified as part of a particular season.
-
B.
seasonPhaseCovered
Indicates that a particular phase or segment of a season is included or encompassed within a specified scope, period, or coverage.
-
C.
hasSeasonRelation
chosen
Indicates a relationship where one entity is associated with another through a specific season or seasonal context (e.g., occurring in, relevant to, or characteristic of that season).
-
D.
associatedWithSeriesSeason
Indicates that an entity is connected or linked to a particular season of a series.
-
E.
hasSeasonStructureRole
Indicates that an entity holds a specific functional or organizational role within a season-based structure or framework.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.