Triple
T24196558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai–Cambodian border region |
E599849
|
entity |
| Predicate | hasRefugeeHistory |
P9069
|
FINISHED |
| Object | large Cambodian refugee presence in late 1970s and 1980s |
—
|
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: large Cambodian refugee presence in late 1970s and 1980s | Statement: [Thai–Cambodian border region, hasRefugeeHistory, large Cambodian refugee presence in late 1970s and 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefugeeHistory Context triple: [Thai–Cambodian border region, hasRefugeeHistory, large Cambodian refugee presence in late 1970s and 1980s]
-
A.
wasRefugee
Indicates that an entity previously lived as a refugee, having been forced to leave their home country due to conflict, persecution, or disaster.
-
B.
hasRefugeePopulation
chosen
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
C.
hasRefugeeStatusRecognizedBy
Indicates that an entity’s refugee status has been formally recognized or granted by a specified authority or organization.
-
D.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
E.
hasRefugeeMovements
Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in another.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24ad83c819084ac9e34d2cc2120 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.