Triple
T5804864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Name Island |
E128719
|
entity |
| Predicate | relativeSizeWithinArchipelago |
P29793
|
FINISHED |
| Object | small island |
—
|
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: small island | Statement: [No Name Island, relativeSizeWithinArchipelago, small island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeWithinArchipelago Context triple: [No Name Island, relativeSizeWithinArchipelago, small island]
-
A.
relativeSizeInArchipelago
chosen
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
-
B.
islandSize
Indicates the size or area measurement associated with a particular island.
-
C.
relativeSizeAmongJapanMainIslands
Indicates the comparative size ranking of an island relative to the other main islands of Japan.
-
D.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
E.
nearIsland
Indicates that one entity is located close to or in the vicinity of an island.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1461a48190be2042dd3823d02e |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.