Triple
T4607674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives of Yemen |
E100476
|
entity |
| Predicate | statusDuringConflict |
P57414
|
FINISHED |
| Object | divided between rival political authorities |
—
|
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: divided between rival political authorities | Statement: [House of Representatives of Yemen, statusDuringConflict, divided between rival political authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringConflict Context triple: [House of Representatives of Yemen, statusDuringConflict, divided between rival political authorities]
-
A.
postConflictStatus
Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
-
B.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
-
C.
implementedDuringConflict
Indicates that an action, policy, or measure was carried out while an active conflict or war was ongoing.
-
D.
supportedConflict
Indicates that one party provided assistance, resources, or endorsement to a side involved in a conflict or dispute.
-
E.
existedDuringConflict
Indicates that an entity was present or active for some or all of the duration of a specified conflict.
- F. None of above. chosen
Provenance (4 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.