Triple
T16006769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitneyville neighborhood of Hamden |
E388239
|
entity |
| Predicate | transportationAxis |
P56811
|
FINISHED |
| Object | Whitney Avenue |
—
|
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: Whitney Avenue | Statement: [Whitneyville neighborhood of Hamden, transportationAxis, Whitney Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationAxis Context triple: [Whitneyville neighborhood of Hamden, transportationAxis, Whitney Avenue]
-
A.
transportAxis
chosen
Indicates a directional path or axis along which something is transported or moved from one location to another.
-
B.
transportationContext
Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
-
C.
typeOfTransportInfrastructure
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
-
D.
transportationReference
Indicates that one entity serves as a reference or identifier for a specific mode, instance, or detail of transportation associated with another entity.
-
E.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.