Triple
T25126525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prva HNL |
E629407
|
entity |
| Predicate | hasSeasonPeriod |
P1014
|
FINISHED |
| Object | autumn–spring |
—
|
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: autumn–spring | Statement: [Prva HNL, hasSeasonPeriod, autumn–spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasonPeriod Context triple: [Prva HNL, hasSeasonPeriod, autumn–spring]
-
A.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
B.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
-
D.
hasSeasonalRound
Indicates a recurring, seasonally patterned cycle of movements, activities, or resource use associated with an entity over the course of a year.
-
E.
hasSeasonRelation
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).
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 18, 2026, 6:28 a.m.