Triple
T19311871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laos and Vietnam |
E482990
|
entity |
| Predicate | shareWarLegacyIssues |
P88059
|
FINISHED |
| Object | unexploded ordnance |
—
|
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: unexploded ordnance | Statement: [Laos and Vietnam, shareWarLegacyIssues, unexploded ordnance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareWarLegacyIssues Context triple: [Laos and Vietnam, shareWarLegacyIssues, unexploded ordnance]
-
A.
warLegacy
chosen
Indicates that a past war has left lasting impacts or consequences on an entity, such as social, political, economic, or cultural effects that persist over time.
-
B.
historicalIssue
Indicates that one entity is a past or previously existing edition, version, or instance of another entity, typically within a chronological sequence.
-
C.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
-
D.
conflictHistory
Indicates a history of conflict or antagonistic interactions that have occurred between the related entities.
-
E.
associatedWithMilitaryConquests
Indicates a relationship where an entity is connected to, involved in, or characterized by military conquests or campaigns.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.