Triple
T19102266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian national grid |
E467561
|
entity |
| Predicate | standardTimeOfOperation |
P16276
|
FINISHED |
| Object | 24x7 continuous operation |
—
|
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: 24x7 continuous operation | Statement: [Indian national grid, standardTimeOfOperation, 24x7 continuous operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardTimeOfOperation Context triple: [Indian national grid, standardTimeOfOperation, 24x7 continuous operation]
-
A.
standardTimeType
Indicates that a time value is expressed using a particular standard or conventional time format or classification.
-
B.
operatesAtTime
Indicates that an action, process, or system is functioning or active during a specified time or time interval.
-
C.
operatesAllTimes
chosen
Indicates that the action, service, or process is continuously in operation at all times without interruption.
-
D.
standardTimeCounterpart
Indicates that one time representation is the corresponding value expressed in a standard or canonical time format for the other.
-
E.
standardTimeDesignation
Indicates that one entity designates or specifies the standard (non-daylight-saving) time applicable to 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36e9bfc8190bbaccab169394d99 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.