Triple
T478922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazca Lines |
E9122
|
entity |
| Predicate | numberOfIndividualGeoglyphsApprox |
P14770
|
FINISHED |
| Object | hundreds |
—
|
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: hundreds | Statement: [Nazca Lines, numberOfIndividualGeoglyphsApprox, hundreds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIndividualGeoglyphsApprox Context triple: [Nazca Lines, numberOfIndividualGeoglyphsApprox, hundreds]
-
A.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
B.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
-
C.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
D.
numberOfInscriptions
Indicates the total count of inscriptions associated with a given entity or object.
-
E.
heightRangeOfStelae
Indicates the span between the minimum and maximum heights of the stelae involved.
- 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.