Triple
T12576568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia H. Greene |
E300220
|
entity |
| Predicate | immigrationCentury |
P80942
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Sonia H. Greene, immigrationCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationCentury Context triple: [Sonia H. Greene, immigrationCentury, 19th century]
-
A.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
B.
centuryOfMajorMigration
chosen
Indicates the century during which a major migration event involving the entity took place.
-
C.
immigrationBackground
Indicates that an entity has a personal or familial history of migration from another country or region.
-
D.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
E.
limitedImmigrationFrom
Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 4:47 p.m.