Triple
T1547029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khafre |
E33000
|
entity |
| Predicate | pyramidRankAtGiza |
P31106
|
FINISHED |
| Object | second-largest pyramid at Giza |
—
|
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: second-largest pyramid at Giza | Statement: [Khafre, pyramidRankAtGiza, second-largest pyramid at Giza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pyramidRankAtGiza Context triple: [Khafre, pyramidRankAtGiza, second-largest pyramid at Giza]
-
A.
hasPyramids
Indicates that the subject possesses, contains, or is characterized by one or more pyramids.
-
B.
hasPyramid
Indicates that one entity possesses, contains, or features a pyramid in relation to another entity.
-
C.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
D.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
E.
highestPyramidHeight
Indicates the maximum vertical height reached by any pyramid in a given context or set.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69aa573ee8e0819084abf59f1ddbd1da |
completed | March 6, 2026, 4:25 a.m. |
Created at: March 4, 2026, 7:26 p.m.