Triple
T27627091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chouteau Avenue |
E696236
|
entity |
| Predicate | isNamedPublicInfrastructure |
P118735
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chouteau Avenue, isNamedPublicInfrastructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedPublicInfrastructure Context triple: [Chouteau Avenue, isNamedPublicInfrastructure, yes]
-
A.
isPublicInfrastructure
Indicates that something is part of publicly accessible, collectively used facilities or systems typically provided or regulated by government for common use.
-
B.
isNamedInfrastructure
chosen
Indicates that an entity is an infrastructure object that has an assigned specific name or designation.
-
C.
isPartOfInfrastructureType
Indicates that something belongs to, or is categorized under, a specific type of infrastructure.
-
D.
isTransportationInfrastructure
Indicates that something functions as a physical facility or system designed to support the movement of people or goods, such as roads, railways, ports, or airports.
-
E.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 2:18 p.m.