Triple
T19230601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mile End |
E480860
|
entity |
| Predicate | hasStreetLifeCharacteristic |
P135267
|
FINISHED |
| Object | pedestrian-friendly |
—
|
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: pedestrian-friendly | Statement: [Mile End, hasStreetLifeCharacteristic, pedestrian-friendly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetLifeCharacteristic Context triple: [Mile End, hasStreetLifeCharacteristic, pedestrian-friendly]
-
A.
hasDowntownCharacteristic
Indicates that something possesses a feature, quality, or attribute typically associated with a downtown area.
-
B.
hasNightlifeArea
Indicates that a place contains or is associated with an area characterized by nightlife activities such as bars, clubs, or evening entertainment venues.
-
C.
isUrbanStreet
Indicates that a given street is located within an urban area or city environment rather than a rural or suburban setting.
-
D.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
E.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9ce5e081909df994841ce476d5 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:25 p.m.