Triple
T7177808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese diaspora |
E167363
|
entity |
| Predicate | relationshipToHomeland |
P2102
|
FINISHED |
| Object | strong familial ties to Vietnam |
—
|
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: strong familial ties to Vietnam | Statement: [Vietnamese diaspora, relationshipToHomeland, strong familial ties to Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHomeland Context triple: [Vietnamese diaspora, relationshipToHomeland, strong familial ties to Vietnam]
-
A.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
B.
hasHomeland
chosen
Indicates that an entity considers or recognizes a particular place or region as its homeland or place of origin.
-
C.
citizenshipLinkedTo
Indicates that there is an established connection between an entity and a specific citizenship status, such as holding, sharing, or being associated with that citizenship.
-
D.
relationshipToAllPalestineGovernment
Indicates the nature or type of relationship an entity has with the All-Palestine Government.
-
E.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.