Triple
T7107413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mundo Perdido complex |
E165621
|
entity |
| Predicate | maximumPyramidHeight |
P28741
|
FINISHED |
| Object | approximately 30 meters |
—
|
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 30 meters | Statement: [Mundo Perdido complex, maximumPyramidHeight, approximately 30 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPyramidHeight Context triple: [Mundo Perdido complex, maximumPyramidHeight, approximately 30 meters]
-
A.
highestPyramidHeight
chosen
Indicates the maximum vertical height reached by any pyramid in a given context or set.
-
B.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
C.
numberOfPyramids
Indicates the quantity of pyramids associated with a given entity or context.
-
D.
pyramidHeightCurrent
Indicates the current measured or effective height of a pyramid.
-
E.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bbd4e481909e0948d01c6b15f4 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.