Triple
T4185767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council of Representatives of Iraq |
E88306
|
entity |
| Predicate | minimumWomenRepresentation |
P45895
|
FINISHED |
| Object | 25 percent of seats |
—
|
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: 25 percent of seats | Statement: [Council of Representatives of Iraq, minimumWomenRepresentation, 25 percent of seats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumWomenRepresentation Context triple: [Council of Representatives of Iraq, minimumWomenRepresentation, 25 percent of seats]
-
A.
womenRepresentationMechanism
chosen
Indicates the mechanism or process through which women’s representation or participation is ensured, structured, or facilitated in a given context.
-
B.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
-
C.
hasElectoralRepresentation
Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
-
D.
federalRepresentationLevel
Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
-
E.
hasFemaleLeader
Indicates that the subject entity is led or governed by a woman in a primary leadership role.
- 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.