Triple
T22105455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iriomote Island |
E546273
|
entity |
| Predicate | percentageCoveredByJungle |
P41576
|
FINISHED |
| Object | over 90 percent |
—
|
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: over 90 percent | Statement: [Iriomote Island, percentageCoveredByJungle, over 90 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageCoveredByJungle Context triple: [Iriomote Island, percentageCoveredByJungle, over 90 percent]
-
A.
vegetationCoverage
Indicates the extent or proportion of an area that is covered by vegetation.
-
B.
coversPercentageOfIsland
chosen
Indicates the proportion of an island’s total area that is occupied or covered by a specified entity.
-
C.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
-
D.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
E.
isForested
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
- 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_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. |
Created at: April 16, 2026, 8:30 p.m.