Triple
T24175532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngoni people |
E599271
|
entity |
| Predicate | shareCulturalTraitsWith |
P33545
|
FINISHED |
| Object | Zulu 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: Zulu people | Statement: [Ngoni people, shareCulturalTraitsWith, Zulu people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareCulturalTraitsWith Context triple: [Ngoni people, shareCulturalTraitsWith, Zulu people]
-
A.
sharesTraditionsWith
Indicates that two entities have customs, practices, or cultural traditions in common or mutually observe similar traditional activities.
-
B.
sharesCultWith
Indicates that two entities belong to or participate in the same cult or cult-like religious group.
-
C.
culturallySimilarTo
Indicates that two entities share comparable cultural characteristics, practices, or values.
-
D.
hasCulturalRelation
Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
-
E.
shareCultureWith
chosen
Indicates that two entities mutually participate in, express, or are influenced by the same cultural practices, values, or traditions.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.