Triple
T19075026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firkovich Collection |
E466881
|
entity |
| Predicate | collectorActivityPeriod |
P9341
|
FINISHED |
| Object | first half of the 19th century |
—
|
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: first half of the 19th century | Statement: [Firkovich Collection, collectorActivityPeriod, first half of the 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectorActivityPeriod Context triple: [Firkovich Collection, collectorActivityPeriod, first half of the 19th century]
-
A.
collectionTimespan
chosen
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
B.
timePeriodCategory
Indicates the classification of a time period into a specific category or type (e.g., era, phase, or temporal grouping).
-
C.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
D.
periodReception
Indicates a temporal relationship where one entity receives, hosts, or is associated with another during a specific time period or interval.
-
E.
typicalCollectionPeriodStart
Indicates the date or point in time when a standard or customary collection period begins.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e3c7b08190bf6448ead11ba916 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.