Triple
T25902846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uma Mbatangu |
E652665
|
entity |
| Predicate | buildingElevation |
P43259
|
FINISHED |
| Object | stilted |
—
|
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: stilted | Statement: [Uma Mbatangu, buildingElevation, stilted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingElevation Context triple: [Uma Mbatangu, buildingElevation, stilted]
-
A.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
B.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
C.
buildingHeightCharacteristic
chosen
Indicates the specific height-related property or measurement that characterizes a building.
-
D.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
E.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bbcc5c8190a4c63ef469e78276 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:26 a.m.