Triple
T26695198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chebeague Island United Methodist Church |
E672998
|
entity |
| Predicate | islandContext |
P108805
|
FINISHED |
| Object | island community church |
—
|
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: island community church | Statement: [Chebeague Island United Methodist Church, islandContext, island community church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandContext Context triple: [Chebeague Island United Methodist Church, islandContext, island community church]
-
A.
islandBased
chosen
Indicates that something is located on, originates from, or is primarily associated with an island.
-
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.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
D.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
E.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 3:28 a.m.