Triple
T36001489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi denaturalization law of 1950 |
E1041142
|
entity |
| Predicate | impactOnIndividuals |
P43904
|
FINISHED |
| Object | forced choice between citizenship and emigration |
—
|
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: forced choice between citizenship and emigration | Statement: [Iraqi denaturalization law of 1950, impactOnIndividuals, forced choice between citizenship and emigration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnIndividuals Context triple: [Iraqi denaturalization law of 1950, impactOnIndividuals, forced choice between citizenship and emigration]
-
A.
impactOnHumans
chosen
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
impactOnFamily
Indicates the effect or influence that something has on a family’s situation, dynamics, or well-being.
-
C.
affectedPeople
Indicates the people who are impacted or influenced by a particular event, action, or condition.
-
D.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
E.
impactAge
Indicates that one entity has an effect on, alters, or influences the age or aging process of another entity.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.