Triple
T19966220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laos and Cambodia |
E479939
|
entity |
| Predicate | shareMigrationPattern |
P4575
|
FINISHED |
| Object | cross-border labor 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: cross-border labor migration | Statement: [Laos and Cambodia, shareMigrationPattern, cross-border labor migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareMigrationPattern Context triple: [Laos and Cambodia, shareMigrationPattern, cross-border labor migration]
-
A.
migrationPattern
chosen
Indicates the typical routes, timing, and destinations followed by entities as they move periodically from one location or region to another.
-
B.
transferPattern
Indicates a recurring or structured way in which something is transferred from one entity to another, such as a typical route, sequence, or configuration of transfers.
-
C.
sharesNamePatternWith
Indicates that two entities have names that follow the same or a very similar structural or stylistic pattern.
-
D.
sharesMission
Indicates that two or more entities are aligned in purpose, pursuing the same overarching mission or goal.
-
E.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4f47c8190a721f5e488150d81 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.