Triple
T26155227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney underground railway (City Circle) plan |
E659938
|
entity |
| Predicate | blueprintFor |
P33328
|
FINISHED |
| Object | City Circle railway |
—
|
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: City Circle railway | Statement: [Sydney underground railway (City Circle) plan, blueprintFor, City Circle railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blueprintFor Context triple: [Sydney underground railway (City Circle) plan, blueprintFor, City Circle railway]
-
A.
conceptualizedFor
Indicates that one entity has been conceived, designed, or mentally framed specifically for use, application, or relevance to another entity.
-
B.
envisionedAs
Indicates that one entity is mentally pictured, imagined, or conceived in terms of another entity or role.
-
C.
plannedStructure
Indicates that one entity is a structure that is intended or designed to be built or established in the future, rather than already existing.
-
D.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
E.
planningModelFor
chosen
Indicates that one entity serves as a planning model used to guide, simulate, or structure the planning activities related to another entity.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c0eb97c8190aae67568bf75bbcc |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:27 p.m.