Triple
T20566284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese imperial examination system |
E504972
|
entity |
| Predicate | lastImperialExaminationYear |
P132617
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Vietnamese imperial examination system, lastImperialExaminationYear, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastImperialExaminationYear Context triple: [Vietnamese imperial examination system, lastImperialExaminationYear, 1919]
-
A.
lastTestYear
chosen
Indicates the calendar year in which the most recent test or examination associated with the subject took place.
-
B.
lastSittingYear
Indicates the specific year in which an entity most recently held a sitting, session, or term.
-
C.
yearTaken
Indicates the specific calendar year in which an action, event, or record associated with the subject was carried out or occurred.
-
D.
firstTestYear
Indicates the year in which an entity’s first test or testing activity took place.
-
E.
yearPassedJinshi
Indicates the year in which an individual successfully passed the Jinshi (highest-level imperial) examination.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.