Triple
T11974322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturalization and Bankruptcy Clause |
E284999
|
entity |
| Predicate | affectsDomain |
P25489
|
FINISHED |
| Object | citizenship acquisition |
—
|
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: citizenship acquisition | Statement: [Naturalization and Bankruptcy Clause, affectsDomain, citizenship acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsDomain Context triple: [Naturalization and Bankruptcy Clause, affectsDomain, citizenship acquisition]
-
A.
areAffectedBy
chosen
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
B.
indicatesDomain
Indicates a domain or area of knowledge, activity, or applicability to which something (such as a concept, resource, or entity) belongs or is relevant.
-
C.
containsDomain
Indicates that one entity includes or encompasses a specific domain as part of its scope, structure, or area of applicability.
-
D.
partOfDomain
Indicates that one entity belongs to, is included within, or is a constituent part of the scope or domain defined by another entity.
-
E.
usedInDomain
Indicates that something (such as a concept, method, or resource) is applied or utilized within a particular domain or field.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.