Triple
T26131954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avaí Futebol Clube |
E659273
|
entity |
| Predicate | basedInIslandArea |
P101314
|
FINISHED |
| Object | Ilha de Santa Catarina |
—
|
NE NERFINISHED |
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: Ilha de Santa Catarina | Statement: [Avaí Futebol Clube, basedInIslandArea, Ilha de Santa Catarina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInIslandArea Context triple: [Avaí Futebol Clube, basedInIslandArea, Ilha de Santa Catarina]
-
A.
locatedOnIslandOfCountry
Indicates that something is situated on an island that belongs to, or is part of, a specified country.
-
B.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
C.
isPartOfInsularArea
Indicates that one entity is included within, or belongs to, a defined insular area (such as a non-contiguous territorial region or island jurisdiction).
-
D.
locatedInRegionOfIsland
chosen
Indicates that an entity is situated within a specific region that is part of an island.
-
E.
isIslandArea
Indicates that a given geographic area is classified as an island.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 8:15 p.m.