Triple
T478923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazca Lines |
E9122
|
entity |
| Predicate | largestFigureLengthApprox |
P14771
|
FINISHED |
| Object | over 300 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: over 300 meters | Statement: [Nazca Lines, largestFigureLengthApprox, over 300 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestFigureLengthApprox Context triple: [Nazca Lines, largestFigureLengthApprox, over 300 meters]
-
A.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
B.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
C.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
heightInCentimetres
Indicates the numerical value of an entity’s height measured in centimetres.
-
E.
heightInInches
Indicates that one entity has a specific height measured in inches.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef4030608190b39852b347a505ca |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.