Triple
T3052274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top End |
E60396
|
entity |
| Predicate | hasWetSeasonMonths |
P31603
|
FINISHED |
| Object | approximately November to April |
—
|
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: approximately November to April | Statement: [Top End, hasWetSeasonMonths, approximately November to April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWetSeasonMonths Context triple: [Top End, hasWetSeasonMonths, approximately November to April]
-
A.
drySeason
Indicates that the relationship or action occurs during, or is characteristic of, a period with little or no rainfall.
-
B.
hasSeasonalNature
chosen
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
C.
typicalSeasonSouthernHemisphere
Indicates the season in the Southern Hemisphere during which something most commonly or characteristically occurs.
-
D.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
E.
occursInSeasonInNorthernHemisphere
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf274f88190a759f9ce3da47c35 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.