Triple
T12407806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue Marceau |
E296432
|
entity |
| Predicate | hasSideStreetType |
P104970
|
FINISHED |
| Object | boulevard-style avenue |
—
|
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: boulevard-style avenue | Statement: [Avenue Marceau, hasSideStreetType, boulevard-style avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideStreetType Context triple: [Avenue Marceau, hasSideStreetType, boulevard-style avenue]
-
A.
hasSecondaryStreet
Indicates that an entity is associated with an additional, non-primary street address or roadway.
-
B.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
E.
hasNearbyStreet
Indicates that one entity is located close to or adjacent to a street.
- F. None of above. chosen
Provenance (4 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.