Triple
T1353562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkney Islands |
E28936
|
entity |
| Predicate | hasNumberOfInhabitedIslands |
P27940
|
FINISHED |
| Object | about 20 |
—
|
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: about 20 | Statement: [Orkney Islands, hasNumberOfInhabitedIslands, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfInhabitedIslands Context triple: [Orkney Islands, hasNumberOfInhabitedIslands, about 20]
-
A.
hasNumberOfMajorIslands
Indicates the quantitative relationship specifying how many major islands are associated with a given entity.
-
B.
hasSisterIsland
Indicates that one island is considered a sister island of another, typically implying a special paired or closely associated relationship between them.
-
C.
isSeparatedFromMainlandBy
Indicates that one land area is divided from the mainland by a specific intervening body or feature, such as water or terrain.
-
D.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
E.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26e916c8190b4b324df87f4c121 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c20fd1fc8190977a768b1ed2d23b |
completed | March 1, 2026, 10:47 p.m. |
Created at: March 1, 2026, 7:56 p.m.