Triple
T4185825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Iraq |
E88307
|
entity |
| Predicate | selectionRequires |
P136
|
FINISHED |
| Object | two-thirds majority in first parliamentary voting round |
—
|
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: two-thirds majority in first parliamentary voting round | Statement: [President of Iraq, selectionRequires, two-thirds majority in first parliamentary voting round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionRequires Context triple: [President of Iraq, selectionRequires, two-thirds majority in first parliamentary voting round]
-
A.
requiresChoiceBetween
Indicates that one must select between two or more specified options, and that making such a choice is necessary in the given context.
-
B.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
C.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
D.
comparisonRequirement
Indicates that one entity must be evaluated or measured in relation to another according to a specified standard or criterion.
-
E.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.