Triple
T6607720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnam–US Bilateral Trade Agreement |
E149158
|
entity |
| Predicate | hasPartyStatus |
P60373
|
FINISHED |
| Object | developing country party: 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: developing country party: Vietnam | Statement: [Vietnam–US Bilateral Trade Agreement, hasPartyStatus, developing country party: Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartyStatus Context triple: [Vietnam–US Bilateral Trade Agreement, hasPartyStatus, developing country party: Vietnam]
-
A.
partyStatusContext
chosen
Indicates the contextual status or role a party holds within a specific situation, event, or legal/transactional framework.
-
B.
participationStatus
Indicates the current state or condition of an entity’s involvement in an event, activity, or process (e.g., planned, active, completed, or cancelled participation).
-
C.
participantStatus
Indicates the role, condition, or level of involvement that a participant has within a specific event, process, or relationship.
-
D.
hasMPParty
Indicates that a specified member of parliament is affiliated with a particular political party.
-
E.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.