Triple
T33692032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Ministries of Vietnam |
E863208
|
entity |
| Predicate | hadViceMinisterTitle |
P177199
|
FINISHED |
| Object | Thị lang |
—
|
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: Thị lang | Statement: [Six Ministries of Vietnam, hadViceMinisterTitle, Thị lang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadViceMinisterTitle Context triple: [Six Ministries of Vietnam, hadViceMinisterTitle, Thị lang]
-
A.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
B.
hasViceChiefExecutiveTitle
Indicates that an entity holds the position or role of vice chief executive.
-
C.
hasViceChairTitle
Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
-
D.
hadMinisterialPost
Indicates that an entity has held or occupied a ministerial government position or office.
-
E.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.