Triple
T22570328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese mandarins |
E558058
|
entity |
| Predicate | socialMobilityMechanism |
P58133
|
FINISHED |
| Object | success in examinations |
—
|
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: success in examinations | Statement: [Vietnamese mandarins, socialMobilityMechanism, success in examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMobilityMechanism Context triple: [Vietnamese mandarins, socialMobilityMechanism, success in examinations]
-
A.
socialMobility
chosen
Indicates the degree to which individuals or groups can move between different social or economic status levels within a society over time.
-
B.
interactionMechanism
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
C.
associatedMob
Indicates a relationship where one entity is linked or connected to a particular mob (mobile entity), typically as its counterpart, partner, or related unit.
-
D.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
-
E.
tenantMobility
Indicates the extent to which tenants move between or change rental properties over a given period.
- 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_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. |
Created at: April 16, 2026, 8:52 p.m.