Triple
T2199767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smoke that Thunders |
E50460
|
entity |
| Predicate | lowFlowSeason |
P12596
|
FINISHED |
| Object | around October to November |
—
|
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: around October to November | Statement: [The Smoke that Thunders, lowFlowSeason, around October to November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowFlowSeason Context triple: [The Smoke that Thunders, lowFlowSeason, around October to November]
-
A.
typicalLowFlowSeason
Indicates the season during which a river or water body characteristically experiences its lowest flow levels.
-
B.
hasLowestFlowMonths
chosen
Indicates that the related months are those during which the flow (e.g., of water, traffic, or another quantity) reaches its minimum levels for the given entity or period.
-
C.
drySeason
Indicates that the relationship or action occurs during, or is characteristic of, a period with little or no rainfall.
-
D.
coldestSeason
Indicates the season during which a place or region experiences its lowest typical temperatures compared to other seasons.
-
E.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.