Triple
T27387463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machias Seal Island |
E691419
|
entity |
| Predicate | nearbyStateOrProvince |
P180772
|
FINISHED |
| Object | New Brunswick |
—
|
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: New Brunswick | Statement: [Machias Seal Island, nearbyStateOrProvince, New Brunswick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyStateOrProvince Context triple: [Machias Seal Island, nearbyStateOrProvince, New Brunswick]
-
A.
nearbyState
Indicates that one state is geographically adjacent to or in close proximity to another state.
-
B.
nearbyCountryProvince
Indicates that a province is geographically close to, or shares a border with, a specified country.
-
C.
nearByCityState
Indicates that a city is geographically close to or within the same general area as a specified state.
-
D.
nearProvince
Indicates that one province is geographically close to or bordering another province.
-
E.
hasNearbyProvince
Indicates that one province is geographically close to or directly adjacent to another province.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 27, 2026, 12:24 p.m.