Triple
T1003763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elba |
E21661
|
entity |
| Predicate | isThirdLargestItalianIslandByArea |
P22206
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Elba, isThirdLargestItalianIslandByArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isThirdLargestItalianIslandByArea Context triple: [Elba, isThirdLargestItalianIslandByArea, true]
-
A.
ianaArea
Indicates that one entity is associated with, or falls within, a specific IANA-defined geographic or administrative area represented by the other entity.
-
B.
secondLargestIsland
Indicates that the subject is the second largest island (by area or size) within a specified group, region, or context.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
isThirdLargestHawaiianIslandByArea
Indicates that one entity is ranked as the third largest Hawaiian island when ordered by land area.
-
E.
majorIsland
Indicates that an island is the primary or most significant island within a specified geographic or political context.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4ff614081909478500ada1f5059 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b1f4f88190822598cfd2a0fd2b |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b36064a48190b85c402f32cbadd1 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.