Triple
T13909832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region of Portugal |
E334459
|
entity |
| Predicate | containsHighestPointOf |
P112251
|
FINISHED |
| Object | mainland Portugal |
—
|
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: mainland Portugal | Statement: [Centro Region of Portugal, containsHighestPointOf, mainland Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsHighestPointOf Context triple: [Centro Region of Portugal, containsHighestPointOf, mainland Portugal]
-
A.
hasHighestPointAboveSeaLevel
Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
D.
isOneOfHighestPeaksIn
Indicates that an entity is among the tallest or most elevated peaks within a specified group, region, or category.
-
E.
countryHighestPointAccess
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.