Triple
T34235538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medeu |
E878325
|
entity |
| Predicate | iceSurfaceArea |
P178555
|
FINISHED |
| Object | approximately 10,500 square 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 10,500 square meters | Statement: [Medeu, iceSurfaceArea, approximately 10,500 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceSurfaceArea Context triple: [Medeu, iceSurfaceArea, approximately 10,500 square meters]
-
A.
areaWater
Indicates the relationship between a geographic entity and the total area of its surface that is covered by water.
-
B.
lakeArea
Indicates the surface area measurement of a lake.
-
C.
meanSurfaceArea_km2
Indicates the average surface area of an entity measured in square kilometers.
-
D.
areaTotalSquareKilometers
Indicates the total size of something measured in square kilometers.
-
E.
majorLandmasses
Indicates that the related entities are the primary, large continuous expanses of land on a planetary surface.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710b646808190bbc3a5a2acc09455 |
completed | May 3, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:56 a.m.