Triple
T8383771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stelae of Doctors |
E197759
|
entity |
| Predicate | inscriptionsChronology |
P68464
|
FINISHED |
| Object | royal examinations from 1442 to 1779 |
—
|
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: royal examinations from 1442 to 1779 | Statement: [Stelae of Doctors, inscriptionsChronology, royal examinations from 1442 to 1779]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionsChronology Context triple: [Stelae of Doctors, inscriptionsChronology, royal examinations from 1442 to 1779]
-
A.
chronologyOf
chosen
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologyNote
Indicates a note that explains or clarifies the temporal order, dating, or sequence of related events or records.
-
C.
chronologyCertainty
Indicates the degree of confidence or uncertainty about the ordering or dating of events or temporal relationships.
-
D.
eraOfOriginalMonuments
Indicates the historical time period during which the original monuments were created or first established.
-
E.
inscriptionsFoundAt
Indicates that inscriptions are discovered or located at a particular place or site.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80ded0ec81909771482e1a015a67 |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.