Triple
T12188801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cactus Dome |
E290405
|
entity |
| Predicate | numberOfConcretePanels |
P104205
|
FINISHED |
| Object | 357 |
—
|
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: 357 | Statement: [Cactus Dome, numberOfConcretePanels, 357]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConcretePanels Context triple: [Cactus Dome, numberOfConcretePanels, 357]
-
A.
numberOfPanels
Indicates the total count of distinct panels associated with or contained within a given entity.
-
B.
numberOfStainedGlassPanels
Indicates the count of stained glass panels associated with a given entity or object.
-
C.
nodesPerPanel
Indicates the number of nodes that are contained within or assigned to each panel.
-
D.
hasNumberOfInscribedPanels
Indicates the relationship that specifies how many inscribed panels are associated with a given entity.
-
E.
numberOfGlassPanes
Indicates the quantity of individual glass panes associated with or contained in an object or 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.