Triple
T1645007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Hierro |
E35560
|
entity |
| Predicate | relativeSizeInArchipelago |
P29793
|
FINISHED |
| Object | smallest major island of the Canary Islands |
—
|
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: smallest major island of the Canary Islands | Statement: [El Hierro, relativeSizeInArchipelago, smallest major island of the Canary Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeInArchipelago Context triple: [El Hierro, relativeSizeInArchipelago, smallest major island of the Canary Islands]
-
A.
islandSize
Indicates the size or area measurement associated with a particular island.
-
B.
relativeSizeAmongJapanMainIslands
Indicates the comparative size ranking of an island relative to the other main islands of Japan.
-
C.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
D.
nearestLargeIsland
Indicates that one entity is the closest geographically among all islands considered "large" relative to another reference entity.
-
E.
nearIsland
Indicates that one entity is located close to or in the vicinity of an island.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9192f975c8190bfd514a4b5a8786c |
completed | March 5, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.