Triple
T3226447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step Pyramid of Djoser |
E67633
|
entity |
| Predicate | enclosureDimensions |
P37408
|
FINISHED |
| Object | about 545 by 278 metres |
—
|
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: about 545 by 278 metres | Statement: [Step Pyramid of Djoser, enclosureDimensions, about 545 by 278 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enclosureDimensions Context triple: [Step Pyramid of Djoser, enclosureDimensions, about 545 by 278 metres]
-
A.
interiorSize
Indicates the size or dimensions of the inside space of an object or structure.
-
B.
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).
-
C.
cabinWidth
Indicates the measurement of how wide a cabin is across its interior.
-
D.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
E.
depthFeetApprox
Indicates an approximate measurement of an entity’s depth expressed in feet.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb4cd3481908af8a2c9b6c0742d |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.