Triple
T16576674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griend |
E402728
|
entity |
| Predicate | permanentResidency |
P32548
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Griend, permanentResidency, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentResidency Context triple: [Griend, permanentResidency, no]
-
A.
permanentResidents
Indicates that one entity is a long-term, officially recognized resident of another entity (such as a place, institution, or jurisdiction).
-
B.
grantedPermanentResidencyIn
Indicates that an authority has officially conferred permanent residency status to an entity within a specific country or jurisdiction.
-
C.
residencyStatus
chosen
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
D.
grantedResidence
Indicates that one entity has officially conferred the right to reside or live in a place or jurisdiction to another entity.
-
E.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.