Triple
T22567702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Dawa Party |
E557994
|
entity |
| Predicate | legalStatusUnderSaddam |
P43560
|
FINISHED |
| Object | banned |
—
|
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: banned | Statement: [Islamic Dawa Party, legalStatusUnderSaddam, banned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderSaddam Context triple: [Islamic Dawa Party, legalStatusUnderSaddam, banned]
-
A.
roleDuringSaddamRule
Indicates that an entity held a specific role, position, or function during the period of Saddam Hussein's rule.
-
B.
legalStatusInIraq
chosen
Indicates the legal status or standing that an entity holds under the laws and regulations of Iraq.
-
C.
hasLegalStatusInSudan
Indicates that an entity holds a recognized legal status or standing within the jurisdiction of Sudan.
-
D.
legalStatusInSyria
Indicates the legal status or condition an entity holds under the laws and regulations of Syria.
-
E.
politicalStatusInSyria
Indicates the political role, position, or standing that an entity holds within the context of Syria.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fabb9f081908c33c8e2ddf18047 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.