Triple
T22570337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese mandarins |
E558058
|
entity |
| Predicate | heldTitleInVietnamese |
P148772
|
FINISHED |
| Object | quan lại |
—
|
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: quan lại | Statement: [Vietnamese mandarins, heldTitleInVietnamese, quan lại]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldTitleInVietnamese Context triple: [Vietnamese mandarins, heldTitleInVietnamese, quan lại]
-
A.
heldTitleUnder
Indicates that one entity possessed or occupied a particular title, rank, or office under the authority, jurisdiction, or auspices of another entity.
-
B.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
C.
heldTitleAlongWith
Indicates that two or more entities simultaneously held the same title or position during an overlapping period.
-
D.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
E.
titleHeldAs
Indicates that an entity holds or possesses a specific title in a particular capacity or role.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fad35448190b51a3dd639ca8568 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:52 p.m.