Triple
T24786848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 89 East 42nd Street |
E620140
|
entity |
| Predicate | hasBuildingFrontageOf |
P106122
|
FINISHED |
| Object | Grand Central Terminal |
—
|
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: Grand Central Terminal | Statement: [89 East 42nd Street, hasBuildingFrontageOf, Grand Central Terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingFrontageOf Context triple: [89 East 42nd Street, hasBuildingFrontageOf, Grand Central Terminal]
-
A.
hasTypicalFrontage
Indicates that something normally faces or fronts onto something else, such as a property having its usual frontage on a particular street or area.
-
B.
hasFrontageRoads
Indicates that a primary road or highway is accompanied by one or more adjacent frontage roads running alongside it.
-
C.
streetFrontageOn
chosen
Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
-
D.
hasNeighboringBuilding
Indicates that one building is located adjacent to or directly next to another building.
-
E.
hasBuildingUseAlongStreet
Indicates that a building located along a particular street is used for a specified purpose or function in relation to that street.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410ff660881908cc4e73d98bce1fc |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:46 a.m.