Triple
T23366522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raiatea |
E593337
|
entity |
| Predicate | rankBySizeInFrenchPolynesia |
P152444
|
FINISHED |
| Object | second largest island after Tahiti |
—
|
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 after Tahiti | Statement: [Raiatea, rankBySizeInFrenchPolynesia, second largest island after Tahiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySizeInFrenchPolynesia Context triple: [Raiatea, rankBySizeInFrenchPolynesia, second largest island after Tahiti]
-
A.
rankByAreaInSeychelles
Indicates the relative ordering of entities based on their area size specifically within the context of Seychelles.
-
B.
rankInSizeInNewZealandIslands
Indicates the ordinal position of an island in New Zealand when ordered by size (e.g., largest, second largest, etc.).
-
C.
rankInArchipelagoByArea
Indicates the position of an island in a size-based ordering of islands within the same archipelago, based on their land area.
-
D.
rankingInCountryBySize
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
E.
rankingBySizeUSIslands
Indicates the relative order of U.S. islands based on their size, from largest to smallest (or vice versa).
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ac7494819082e98ac5632eba28 |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:31 p.m.