Triple
T5598901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Democratic Republic of Yemen |
E147064
|
entity |
| Predicate | hadInternalConflict |
P20161
|
FINISHED |
| Object | South Yemen Civil War (1986) |
—
|
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: South Yemen Civil War (1986) | Statement: [People's Democratic Republic of Yemen, hadInternalConflict, South Yemen Civil War (1986)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadInternalConflict Context triple: [People's Democratic Republic of Yemen, hadInternalConflict, South Yemen Civil War (1986)]
-
A.
internalConflict
Indicates a relationship where an entity experiences opposing desires, beliefs, or motives within itself, leading to psychological or emotional tension.
-
B.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
-
C.
reportedConflict
Indicates that one party has formally reported the existence of a conflict involving another party or situation.
-
D.
notableInternalConflict
chosen
Indicates a significant or historically important internal conflict occurring within an entity, such as a country, organization, or group.
-
E.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d82870819087f9591b5a1021ce |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.