Triple
T31601665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Index Kewensis |
E806362
|
entity |
| Predicate | timeCoverageNote |
P3058
|
FINISHED |
| Object | initially aimed to cover names published from 1753 onwards |
—
|
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: initially aimed to cover names published from 1753 onwards | Statement: [Index Kewensis, timeCoverageNote, initially aimed to cover names published from 1753 onwards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeCoverageNote Context triple: [Index Kewensis, timeCoverageNote, initially aimed to cover names published from 1753 onwards]
-
A.
timePeriodCoveredTo
chosen
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
-
B.
timeHorizonCovered
Indicates the span or duration of time that is encompassed or addressed by something (such as a plan, forecast, or agreement).
-
C.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
D.
timeRecorded
Indicates that a specific point or period in time has been captured and stored as associated with an event, action, or state.
-
E.
isFrequentlyCoveredSince
Indicates that one entity has been regularly or repeatedly covered (e.g., in media, reports, or discussions) starting from a specified point in time.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 10:33 p.m.