Triple
T11739865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambert azimuthal equal-area projection |
E279123
|
entity |
| Predicate | propertyPreserved |
P17760
|
FINISHED |
| Object | area |
—
|
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: area | Statement: [Lambert azimuthal equal-area projection, propertyPreserved, area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyPreserved Context triple: [Lambert azimuthal equal-area projection, propertyPreserved, area]
-
A.
somePreservedAs
Indicates that at least one part or instance of an entity is kept or maintained in a particular state, form, or condition.
-
B.
preservesFeature
chosen
Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
-
C.
partiallyPreservedThrough
Indicates that something is not fully intact but has been maintained or conserved to some extent by or via another entity or medium.
-
D.
betterPreservedThan
Indicates that one entity is in a superior state of preservation or condition compared to another entity.
-
E.
partlyPreservedAs
Indicates that an entity is only partially preserved or remains in incomplete form within another entity or context.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f025f88190a39280806c9d7c33 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.