Triple
T14152329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorky |
E350714
|
entity |
| Predicate | wasRestrictedToForeigners |
P113023
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gorky, wasRestrictedToForeigners, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasRestrictedToForeigners Context triple: [Gorky, wasRestrictedToForeigners, true]
-
A.
foreignResidentsRestrictedTo
Indicates that foreign residents are limited or confined to certain specified areas, activities, or conditions.
-
B.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
-
C.
usedToRestrictEmigrationTo
Indicates that an entity implemented measures or policies to limit or control people leaving a particular place or jurisdiction.
-
D.
usedToRestrictEmigrationFrom
Indicates that something was employed as a means to limit or control people leaving a particular place or country.
-
E.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
- F. None of above. chosen
Provenance (4 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:57 a.m.