Triple
T3632274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walloon diaspora |
E76983
|
entity |
| Predicate | hasMajorMigrationWave |
P49687
|
FINISHED |
| Object | 19th-century industrial migration |
—
|
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 industrial migration | Statement: [Walloon diaspora, hasMajorMigrationWave, 19th-century industrial migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorMigrationWave Context triple: [Walloon diaspora, hasMajorMigrationWave, 19th-century industrial migration]
-
A.
hasMajorWork
Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
-
B.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
-
C.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
D.
hasMajorCurrent
Indicates that an entity currently has a primary field of study or specialization.
-
E.
hasMajorInstallation
Indicates that one entity possesses, hosts, or contains a primary or significant facility, base, or installation of another entity.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30251d881908284edeb7fe69ad8 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.