Triple
T27956096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongding Hakka |
E703552
|
entity |
| Predicate | historicalMigrationSourceFor |
P1823
|
FINISHED |
| Object | Hakka settlers in Taiwan |
—
|
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: Hakka settlers in Taiwan | Statement: [Yongding Hakka, historicalMigrationSourceFor, Hakka settlers in Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalMigrationSourceFor Context triple: [Yongding Hakka, historicalMigrationSourceFor, Hakka settlers in Taiwan]
-
A.
historicalMigrationType
Indicates the type or category of migration that occurred in a historical context between entities.
-
B.
historicalMigrationFactor
Indicates that the relationship or condition is influenced by patterns, causes, or consequences of past human migration.
-
C.
haveHistoricalMigrationWavesSince
Indicates that there have been one or more significant migration waves involving the subject entity starting from a specified historical time onward.
-
D.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
E.
historicalOrigin
chosen
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 27, 2026, 7:28 p.m.