Triple
T7086011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid of the Moon |
E165077
|
entity |
| Predicate | baseDimension |
P37408
|
FINISHED |
| Object | approximately 150 meters per side |
—
|
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: approximately 150 meters per side | Statement: [Pyramid of the Moon, baseDimension, approximately 150 meters per side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseDimension Context triple: [Pyramid of the Moon, baseDimension, approximately 150 meters per side]
-
A.
mainDimension
Indicates the primary or most significant dimension by which something is measured, organized, or characterized within a given context.
-
B.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
C.
externalDimension
chosen
Indicates that an entity has a measurable size or extent along one or more outer spatial dimensions (such as length, width, or height).
-
D.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
E.
dimensionType
Indicates the specific kind or category of dimension that characterizes how something is measured or structured.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.