Triple
T10899186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buru Island |
E257390
|
entity |
| Predicate | rankInSizeInMaluku |
P29793
|
FINISHED |
| Object | third-largest island in Maluku |
—
|
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: third-largest island in Maluku | Statement: [Buru Island, rankInSizeInMaluku, third-largest island in Maluku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInSizeInMaluku Context triple: [Buru Island, rankInSizeInMaluku, third-largest island in Maluku]
-
A.
rankingByLengthInPeninsularMalaysia
Indicates a ranking relationship among items based on their lengths, specifically within the context of Peninsular Malaysia.
-
B.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
-
C.
populationRankInIndonesia
Indicates the relative position of an entity in terms of population size compared to other entities within Indonesia.
-
D.
rankInSizeInNewZealandIslands
Indicates the ordinal position of an island in New Zealand when ordered by size (e.g., largest, second largest, etc.).
-
E.
relativeSizeInArchipelago
chosen
Indicates the comparative size relationship of an entity relative to other entities within the same archipelago.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2392c8190bc2c2359d63eff7a |
completed | April 9, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.