Triple
T4691805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padrão dos Descobrimentos |
E104049
|
entity |
| Predicate | compassRoseDiameter |
P58832
|
FINISHED |
| Object | approximately 50 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 50 meters | Statement: [Padrão dos Descobrimentos, compassRoseDiameter, approximately 50 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compassRoseDiameter Context triple: [Padrão dos Descobrimentos, compassRoseDiameter, approximately 50 meters]
-
A.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
-
B.
clockDiameter
Indicates that one entity specifies or measures the diameter of a clock associated with another entity.
-
C.
roundel
Indicates that one entity bears, displays, or is marked with a circular emblem or symbol representing another entity.
-
D.
romSize
Indicates the amount of read-only memory (ROM) associated with an entity, typically measured as its storage capacity.
-
E.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd660414b08190ab37467755d383b5 |
completed | March 20, 2026, 3:21 p.m. |
Created at: March 20, 2026, 1:16 p.m.