Triple
T22105441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iriomote Island |
E546273
|
entity |
| Predicate | rankingByAreaInOkinawaPrefecture |
P147000
|
FINISHED |
| Object | second largest 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: second largest island | Statement: [Iriomote Island, rankingByAreaInOkinawaPrefecture, second largest island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInOkinawaPrefecture Context triple: [Iriomote Island, rankingByAreaInOkinawaPrefecture, second largest island]
-
A.
areaRankingInJapan
Indicates the relative position of an entity in a size-based ranking within Japan.
-
B.
populationRankInAichiPrefecture
Indicates the relative position of an entity in terms of population size compared to other entities within Aichi Prefecture.
-
C.
relativeSizeAmongJapanMainIslands
Indicates the comparative size ranking of an island relative to the other main islands of Japan.
-
D.
rankInArchipelagoByArea
Indicates the position of an island in a size-based ordering of islands within the same archipelago, based on their land area.
-
E.
populationRankInHawaii
Indicates the relative position of an entity in terms of population size compared to other entities within Hawaii.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.