Triple
T25375672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talamanca region |
E633049
|
entity |
| Predicate | highestElevationsIn |
P112251
|
FINISHED |
| Object | Costa Rica |
—
|
NE NERFINISHED |
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: Costa Rica | Statement: [Talamanca region, highestElevationsIn, Costa Rica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestElevationsIn Context triple: [Talamanca region, highestElevationsIn, Costa Rica]
-
A.
hasHighestElevationsOf
Indicates that one entity possesses the greatest elevation values (e.g., altitudes or heights) compared to another entity or set of entities.
-
B.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
C.
countryHighestPointAccess
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
-
D.
containsHighestPointOf
chosen
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
E.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 1:38 p.m.