Triple
T26089967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbaru Niang conical houses |
E658089
|
entity |
| Predicate | floorOrganization |
P117959
|
FINISHED |
| Object | hierarchical by social function |
—
|
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: hierarchical by social function | Statement: [Mbaru Niang conical houses, floorOrganization, hierarchical by social function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorOrganization Context triple: [Mbaru Niang conical houses, floorOrganization, hierarchical by social function]
-
A.
floorContext
Indicates the specific floor or level within a building or structure that serves as the contextual setting for an event, object, or relationship.
-
B.
interiorOrganization
chosen
Indicates how the internal parts or elements of something are arranged, structured, or organized in relation to one another.
-
C.
floorConfiguration
Indicates how the layout, structure, or arrangement of floors or levels is organized or configured in relation to one another.
-
D.
floor
Indicates that one entity is located on or forms the walking surface (the floor) beneath another entity within a space.
-
E.
floorStart
Indicates the floor or level at which something begins or is initiated.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60702b8948190bdd504b1c5d94b30 |
completed | May 2, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:46 p.m.