Triple
T30036148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalkaska sand |
E763162
|
entity |
| Predicate | surfaceRunoff |
P13099
|
FINISHED |
| Object | slow |
—
|
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: slow | Statement: [Kalkaska sand, surfaceRunoff, slow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceRunoff Context triple: [Kalkaska sand, surfaceRunoff, slow]
-
A.
runoffPeriod
Indicates the time interval during which surface or subsurface water runoff occurs following a precipitation or melt event.
-
B.
hydrologicalProcess
chosen
Indicates a relationship where an entity participates in, is affected by, or is otherwise involved in the movement, distribution, or transformation of water within the hydrological cycle.
-
C.
runoffStatus
Indicates whether an election or voting process has proceeded to, or requires, a runoff round to determine a final outcome.
-
D.
runoffRequired
Indicates that an additional runoff process (such as a second-round vote or tiebreaking procedure) is required because the initial outcome was inconclusive or below a necessary threshold.
-
E.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 6:51 p.m.