Triple
T14523492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulozi Plain |
E340710
|
entity |
| Predicate | roleInKuomboka |
P114589
|
FINISHED |
| Object | route of Litunga’s annual move between palaces |
—
|
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: route of Litunga’s annual move between palaces | Statement: [Bulozi Plain, roleInKuomboka, route of Litunga’s annual move between palaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInKuomboka Context triple: [Bulozi Plain, roleInKuomboka, route of Litunga’s annual move between palaces]
-
A.
roleInBabel
Indicates that an entity participates in the Babel project or system with a specific role or function.
-
B.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
C.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
D.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
-
E.
roleInBun
Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.