Triple
T1007357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minangkabau |
E21743
|
entity |
| Predicate | diasporaTerm |
P23528
|
FINISHED |
| Object | merantau |
—
|
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: merantau | Statement: [Minangkabau, diasporaTerm, merantau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diasporaTerm Context triple: [Minangkabau, diasporaTerm, merantau]
-
A.
hasDiaspora
Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
-
B.
majorDiasporaCountry
Indicates that a country is a primary destination or host state for a significant diaspora population originating from another country.
-
C.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
D.
majorDiasporaCity
Indicates that a city serves as a primary center or hub for a particular diaspora community outside its place of origin.
-
E.
ethnoreligiousIdentity
Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:41 p.m.