Triple
T3006083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Santo Island |
E81904
|
entity |
| Predicate | hasMainBeachLength |
P1568
|
FINISHED |
| Object | approximately 9 kilometres |
—
|
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 9 kilometres | Statement: [Porto Santo Island, hasMainBeachLength, approximately 9 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainBeachLength Context triple: [Porto Santo Island, hasMainBeachLength, approximately 9 kilometres]
-
A.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
B.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
C.
shorelineLength
chosen
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
D.
beachName
Indicates the specific name assigned to a beach in the relationship.
-
E.
cityBeachNumber
Indicates the number of beaches associated with a given city.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a48f0888190bdec150dac623851 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.