Triple
T9422313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koiak |
E227182
|
entity |
| Predicate | seasonDescription |
P14881
|
FINISHED |
| Object | season of emergence |
—
|
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: season of emergence | Statement: [Koiak, seasonDescription, season of emergence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonDescription Context triple: [Koiak, seasonDescription, season of emergence]
-
A.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
B.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
-
C.
seasonCharacterization
chosen
Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
-
D.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
E.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.