Triple
T6975166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusaka National Museum |
E161698
|
entity |
| Predicate | lowerGalleryFocus |
P73602
|
FINISHED |
| Object | Zambian history and culture |
—
|
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: Zambian history and culture | Statement: [Lusaka National Museum, lowerGalleryFocus, Zambian history and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerGalleryFocus Context triple: [Lusaka National Museum, lowerGalleryFocus, Zambian history and culture]
-
A.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
B.
lowFloor
Indicates that something has a floor positioned close to ground level, allowing easy, step-free access.
-
C.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
D.
chamberLower
Indicates that the entity serves as the lower chamber (e.g., house) within a bicameral or multi-chamber legislative or decision-making body.
-
E.
hasLowerFloor
Indicates that one location, structure, or level includes or is directly connected to a floor situated below another floor.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:31 p.m.