Triple
T26089990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbaru Niang conical houses |
E658089
|
entity |
| Predicate | supportSystem |
P4178
|
FINISHED |
| Object | ring of peripheral posts |
—
|
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: ring of peripheral posts | Statement: [Mbaru Niang conical houses, supportSystem, ring of peripheral posts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportSystem Context triple: [Mbaru Niang conical houses, supportSystem, ring of peripheral posts]
-
A.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
B.
supportBase
chosen
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
-
C.
supportStyle
Indicates the manner or approach by which one entity provides assistance or backing to another.
-
D.
supportPolicy
Indicates that one entity endorses, backs, or helps to maintain a particular policy or course of action.
-
E.
customerSupport
Indicates that one entity provides assistance, troubleshooting, or service-related help to another entity.
- 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_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 26, 2026, 7:46 p.m.