Triple
T9994435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schumacher |
E196966
|
entity |
| Predicate | hasInfrastructureLink |
P43089
|
FINISHED |
| Object | connected to Timmins urban area |
—
|
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: connected to Timmins urban area | Statement: [Schumacher, hasInfrastructureLink, connected to Timmins urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureLink Context triple: [Schumacher, hasInfrastructureLink, connected to Timmins urban area]
-
A.
hasInfrastructureType
Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
-
B.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
C.
relatedInfrastructure
chosen
Indicates that one piece of infrastructure is connected, associated, or functionally related to another infrastructure element.
-
D.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
E.
hasCapitalConnected
Indicates that there is a direct connection or linkage between an entity and its capital city.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb982d5c81909779c6e9d780b399 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.