Triple
T2916472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Washington Island |
E78618
|
entity |
| Predicate | isIslandMunicipality |
P21594
|
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: [Town of Washington Island, isIslandMunicipality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIslandMunicipality Context triple: [Town of Washington Island, isIslandMunicipality, true]
-
A.
islandMunicipality
chosen
Indicates that a municipality is located on, or primarily consists of, an island.
-
B.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by 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.
isIslandLike
Indicates that something has characteristics or qualities similar to those of an island, such as being isolated, surrounded, or distinct from its surroundings.
-
E.
nearbyIslandMunicipality
Indicates that one municipality is located on an island that is geographically close to another municipality.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:53 p.m.