Triple
T37170344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Alex (2010) |
E920890
|
entity |
| Predicate | earlySeason |
P141886
|
FINISHED |
| Object | June hurricane |
—
|
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: June hurricane | Statement: [Hurricane Alex (2010), earlySeason, June hurricane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlySeason Context triple: [Hurricane Alex (2010), earlySeason, June hurricane]
-
A.
usualSeason
Indicates the season during which something typically or most commonly occurs.
-
B.
earlyPhase
Indicates that the related process, project, or development is in its initial or beginning stage.
-
C.
formedEarlyInSeason
chosen
Indicates that something came into existence or was created during the early part of a particular season.
-
D.
earlyTraining
Indicates that an entity receives or provides training at an early stage relative to a process, development period, or typical timeline.
-
E.
openingSeason
Indicates that an entity marks the beginning or first season of another entity, such as a series, event, or competition.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.