Triple
T28777742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalice Well |
E726585
|
entity |
| Predicate | continuousFlow |
P9749
|
FINISHED |
| Object | year-round |
—
|
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: year-round | Statement: [Chalice Well, continuousFlow, year-round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuousFlow Context triple: [Chalice Well, continuousFlow, year-round]
-
A.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
B.
streamlines
Indicates that one entity makes a process, workflow, or interaction between entities more efficient, simple, or direct.
-
C.
continuoType
Indicates the specific kind or classification of a continuo (basso continuo) used in a musical context.
-
D.
flowsAt
chosen
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
waterfallFlow
Indicates that water moves continuously downward over a vertical or steep drop, forming a waterfall-like flow between locations or surfaces.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 6:18 a.m.