Triple
T7890452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymm Festival |
E183216
|
entity |
| Predicate | hasTypicalTimeOfYear |
P13215
|
FINISHED |
| Object | summer |
—
|
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 | Statement: [Lymm Festival, hasTypicalTimeOfYear, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalTimeOfYear Context triple: [Lymm Festival, hasTypicalTimeOfYear, summer]
-
A.
timeOfYearPresented
Indicates the specific time or season of the year during which something is presented or takes place.
-
B.
typicalStartTimeOfYear
Indicates the usual or characteristic time of year when something typically begins or occurs.
-
C.
typicalSeasonTiming
chosen
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
D.
hasSeasonalStatus
Indicates that an entity’s status, availability, or condition varies according to a particular season or time of year.
-
E.
hasOppositeSeasonTime
Indicates that two locations experience opposite seasons at the same time of year (e.g., when it is summer in one, it is winter in the other).
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ee137081908e87e35016c3a176 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5 p.m.