Triple
T26290176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provisional Government of National Union of Laos |
E661247
|
entity |
| Predicate | wasInConflictContext |
P3680
|
FINISHED |
| Object | Indochina conflicts |
—
|
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: Indochina conflicts | Statement: [Provisional Government of National Union of Laos, wasInConflictContext, Indochina conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasInConflictContext Context triple: [Provisional Government of National Union of Laos, wasInConflictContext, Indochina conflicts]
-
A.
conflictContext
chosen
Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
-
B.
builtForConflictContext
Indicates that something is designed, adapted, or intended specifically to function within or address a conflict situation or contentious context.
-
C.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
D.
conflictSideContext
Indicates that an entity participates in a conflict on a particular side, within a specified contextual framing (such as time, place, or specific phase of the conflict).
-
E.
facedConflictOver
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e7a94c48190836f70ae063475c2 |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:08 p.m.