Triple
T32467671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cistern Spring |
E829754
|
entity |
| Predicate | waterLevelDropsAfter |
P192384
|
FINISHED |
| Object | major Steamboat Geyser eruption |
—
|
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: major Steamboat Geyser eruption | Statement: [Cistern Spring, waterLevelDropsAfter, major Steamboat Geyser eruption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterLevelDropsAfter Context triple: [Cistern Spring, waterLevelDropsAfter, major Steamboat Geyser eruption]
-
A.
waterLevelAffectedBy
chosen
Indicates that the water level of one entity changes as a result of the influence or impact of another entity or factor.
-
B.
waterLevelTransition
Indicates a change in water level from one state or value to another over time.
-
C.
waterLevelHigherThan
Indicates that the water level of one entity is greater than the water level of another entity.
-
D.
waterLevelTrend
Indicates the direction and rate at which a body of water’s level is changing over time (e.g., rising, falling, or stable).
-
E.
hasNormalWaterLevel
Indicates that an entity’s water level is within the expected or standard range, neither abnormally high nor low.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 12:57 a.m.