Triple
T19656991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conanicut Island |
E471973
|
entity |
| Predicate | rankingByAreaInNarragansettBay |
P136846
|
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: [Conanicut Island, rankingByAreaInNarragansettBay, second-largest island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInNarragansettBay Context triple: [Conanicut Island, rankingByAreaInNarragansettBay, second-largest island]
-
A.
populationRankInRhodeIsland
Indicates the relative position of an entity in terms of population size compared to other entities within the state of Rhode Island.
-
B.
rankAtPortHudson
Indicates the military rank a person held specifically during the engagement at Port Hudson.
-
C.
lakeRankContext
Indicates the contextual ranking or relative standing of a lake within a specified comparison set or criteria.
-
D.
rankByPopulationInNewEngland
Indicates the relative ordering of entities based on their population size within the New England region.
-
E.
bayLocation
Indicates that an entity (such as a bay) is geographically located in or along a specified place or region.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64146539c8190813debb0d964bc23 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.