Triple
T19220569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academia Gelro-Zutphanica |
E480600
|
entity |
| Predicate | usedNamePeriod |
P78284
|
FINISHED |
| Object | 17th–early 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: 17th–early 19th century | Statement: [Academia Gelro-Zutphanica, usedNamePeriod, 17th–early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedNamePeriod Context triple: [Academia Gelro-Zutphanica, usedNamePeriod, 17th–early 19th century]
-
A.
previousNamePeriod
chosen
Indicates the time span during which an entity was known by a former name before changing to its current name.
-
B.
usesNameSince
Indicates that an entity has been using a particular name continuously starting from a specified point in time.
-
C.
formerNamePeriodStart
Indicates the date or time point when an entity began using a former name that is being recorded.
-
D.
usedNameToYear
Indicates that a particular name was in use or valid during a specified year.
-
E.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3e8d488190a93fb743dabd0ffb |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:24 p.m.