Triple
T24372316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle Street (Albany, New York) |
E614367
|
entity |
| Predicate | isDowntownThoroughfare |
P45386
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Eagle Street (Albany, New York), isDowntownThoroughfare, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDowntownThoroughfare Context triple: [Eagle Street (Albany, New York), isDowntownThoroughfare, true]
-
A.
isDowntownAxis
Indicates that something serves as or lies along the main central axis of a downtown area.
-
B.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
C.
isInnerCityRoad
chosen
Indicates that a road is located within and primarily serves the inner (central, densely built-up) area of a city.
-
D.
isDowntownLandmark
Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown area.
-
E.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d462f88190bf95a83274d8a850 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.