Triple
T12099400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Garden City |
E288150
|
entity |
| Predicate | infrastructureQuality |
P43100
|
FINISHED |
| Object | modern |
—
|
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: modern | Statement: [Victoria Garden City, infrastructureQuality, modern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infrastructureQuality Context triple: [Victoria Garden City, infrastructureQuality, modern]
-
A.
infrastructureLevel
chosen
Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
-
B.
infrastructureNeed
Indicates that an entity requires the development, improvement, or provision of infrastructure to meet its functional or operational needs.
-
C.
infrastructureImpact
Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
-
D.
transportInfrastructureResponsibility
Indicates responsibility for the planning, development, maintenance, or management of transport infrastructure such as roads, railways, ports, or related facilities.
-
E.
hasRoadNetworkQuality
Indicates the assessed level or condition of the road network associated with an 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.