Triple
T19436243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarity |
E486230
|
entity |
| Predicate | timeGrain |
P119939
|
FINISHED |
| Object | near real-time with scheduled ETL loads |
—
|
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: near real-time with scheduled ETL loads | Statement: [Clarity, timeGrain, near real-time with scheduled ETL loads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeGrain Context triple: [Clarity, timeGrain, near real-time with scheduled ETL loads]
-
A.
timeGranularity
chosen
Indicates the level of temporal detail or precision at which an event, measurement, or relationship is defined (e.g., seconds, days, months).
-
B.
timeTravelGranularity
Indicates the level of temporal precision or resolution at which time travel or time-based operations can occur between entities.
-
C.
timeAggregation
Indicates how data or events are grouped, summarized, or measured over specified time intervals (e.g., hourly, daily, monthly).
-
D.
timeCharacteristic
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
-
E.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336001488190a05f372779711ed2 |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.