Triple
T13069484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Grounds (University of Virginia) |
E329416
|
entity |
| Predicate | hasAccessVia |
P1985
|
FINISHED |
| Object |
Massie Road
Massie Road is a primary access road serving the North Grounds area of the University of Virginia in Charlottesville.
|
E1317914
|
NE FINISHED |
How this triple was built (4 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: Massie Road | Statement: [North Grounds (University of Virginia), hasAccessVia, Massie Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massie Road Context triple: [North Grounds (University of Virginia), hasAccessVia, Massie Road]
-
A.
Landis Avenue
Landis Avenue is the primary commercial thoroughfare and downtown business corridor in Vineland, New Jersey.
-
B.
Classon Avenue
Classon Avenue is a local station on the IND Crosstown Line of the New York City Subway, serving the G train in Brooklyn.
-
C.
Beverly Road
Beverly Road is a local New York City Subway station in Brooklyn on the IRT Nostrand Avenue Line, serving the 2 and 5 trains.
-
D.
Maxwell Road
Maxwell Road is a street in Singapore’s central business district known for its proximity to key commercial and civic landmarks.
-
E.
Blumentritt Road
Blumentritt Road is a major thoroughfare in Manila, Philippines, known for its busy commercial areas, transport links, and proximity to the Blumentritt railway station.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Massie Road Triple: [North Grounds (University of Virginia), hasAccessVia, Massie Road]
Generated description
Massie Road is a primary access road serving the North Grounds area of the University of Virginia in Charlottesville.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massie Road Target entity description: Massie Road is a primary access road serving the North Grounds area of the University of Virginia in Charlottesville.
-
A.
Landis Avenue
Landis Avenue is the primary commercial thoroughfare and downtown business corridor in Vineland, New Jersey.
-
B.
Classon Avenue
Classon Avenue is a local station on the IND Crosstown Line of the New York City Subway, serving the G train in Brooklyn.
-
C.
Beverly Road
Beverly Road is a local New York City Subway station in Brooklyn on the IRT Nostrand Avenue Line, serving the 2 and 5 trains.
-
D.
Maxwell Road
Maxwell Road is a street in Singapore’s central business district known for its proximity to key commercial and civic landmarks.
-
E.
Blumentritt Road
Blumentritt Road is a major thoroughfare in Manila, Philippines, known for its busy commercial areas, transport links, and proximity to the Blumentritt railway station.
- F. None of above. chosen
Provenance (5 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4a715808190919b96b9e85f90d6 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c5a12da88190babe36d475b54994 |
completed | May 13, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c63ec8c48190bad47d423ab2cfe7 |
completed | May 13, 2026, 12:30 a.m. |
Created at: April 9, 2026, 9 p.m.