Triple
T38442739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suba people |
E906541
|
entity |
| Predicate | hasIntermarriageWith |
P203339
|
FINISHED |
| Object | Luo people |
—
|
NE NERFINISHED |
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: Luo people | Statement: [Suba people, hasIntermarriageWith, Luo people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntermarriageWith Context triple: [Suba people, hasIntermarriageWith, Luo people]
-
A.
connectedThroughMarriageVia
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
-
B.
formedByMarriageOf
Indicates that something (typically a family, union, or legal entity) comes into existence as a result of the marriage between two entities.
-
C.
marriedOutsideRoyalty
Indicates that a person entered into marriage with someone who is not a member of a royal family.
-
D.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
E.
ethnicGroupByMarriage
Indicates a relationship where an individual's ethnic group is determined or associated through marriage rather than by birth or ancestry.
- 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a016336c58081909c58c5772e6fb488 |
completed | May 11, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a0160f25d8081909a6aaa375e9850b0 |
completed | May 11, 2026, 4:54 a.m. |
| PDg | Predicate description generation | batch_6a0163359e588190ba365f65b2d86435 |
completed | May 11, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:31 p.m.