Triple
T497820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Air Force Academy Cadet Chapel |
E10333
|
entity |
| Predicate | numberOfSpiredTetrahedrons |
P14396
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [US Air Force Academy Cadet Chapel, numberOfSpiredTetrahedrons, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpiredTetrahedrons Context triple: [US Air Force Academy Cadet Chapel, numberOfSpiredTetrahedrons, 17]
-
A.
numberOfSides
Indicates the relationship that specifies how many sides a given object or shape has.
-
B.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
C.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
D.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
E.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.