Triple
T5554432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornwall, Prince Edward Island |
E145602
|
entity |
| Predicate | hasProvincialAbbreviation |
P21657
|
FINISHED |
| Object | PE |
—
|
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: PE | Statement: [Cornwall, Prince Edward Island, hasProvincialAbbreviation, PE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvincialAbbreviation Context triple: [Cornwall, Prince Edward Island, hasProvincialAbbreviation, PE]
-
A.
hasPostalAbbreviationProvince
chosen
Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
-
B.
hasProvinceName
Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
-
C.
hasPostalAbbreviationState
Indicates that a state is associated with a specific standardized postal abbreviation.
-
D.
hasCountryAbbreviation
Indicates that an entity is associated with a specific standardized abbreviated form of a country’s name.
-
E.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffaf4fc8190bf27014d21954a70 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.