Triple
T34418313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet in Malta |
E883456
|
entity |
| Predicate | hasRuralCoverage |
P73513
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Internet in Malta, hasRuralCoverage, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuralCoverage Context triple: [Internet in Malta, hasRuralCoverage, high]
-
A.
ruralCoverage
chosen
Indicates the extent to which a service, infrastructure, or resource is available or provided in rural areas.
-
B.
servesRuralArea
Indicates that an entity provides services or support specifically to people or communities located in rural areas.
-
C.
hasUrbanCoverage
Indicates that something provides service, presence, or applicability within urban or city areas.
-
D.
hasRuralServiceTown
Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
-
E.
hasRuralArea
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 2 a.m.