Triple
T27388205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East 60th Street |
E691441
|
entity |
| Predicate | hasOrientationRelativeToCentralPark |
P46521
|
FINISHED |
| Object | north of Midtown commercial core |
—
|
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: north of Midtown commercial core | Statement: [East 60th Street, hasOrientationRelativeToCentralPark, north of Midtown commercial core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrientationRelativeToCentralPark Context triple: [East 60th Street, hasOrientationRelativeToCentralPark, north of Midtown commercial core]
-
A.
relativeLocationToCentralPark
chosen
Indicates the spatial position or orientation of an entity in relation to Central Park.
-
B.
isCentralParkOf
Indicates that a location serves as the primary or central park for a specified area, city, or region.
-
C.
hasCoordinateInCityCentreApprox
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
-
D.
onSideOfManhattan
Indicates that one entity is located on the same side of Manhattan as, or relative to, another reference entity.
-
E.
hasRelativePositionInCity
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
- 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_69ef520386788190bc92cfcd97ebb67a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 12:25 p.m.