Triple
T7637041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisburg Square |
E172903
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Vernon Street |
E525911
|
NE 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: Mount Vernon Street | Statement: [Louisburg Square, near, Mount Vernon Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Vernon Street Context triple: [Louisburg Square, near, Mount Vernon Street]
-
A.
Mount Vernon Street
chosen
Mount Vernon Street is a roadway in Boston, Massachusetts, known for connecting residential and institutional areas and intersecting major routes such as Morrissey Boulevard.
-
B.
Mount Vernon Avenue
Mount Vernon Avenue is a vibrant main street in Alexandria, Virginia, known for its eclectic shops, restaurants, and community events.
-
C.
Merrimac Street
Merrimac Street is a roadway in downtown Boston, Massachusetts, situated near North Station and the TD Garden arena.
-
D.
Mount Vernon Place
Mount Vernon Place is a historic urban square and cultural district in Baltimore known for its 19th-century architecture and the iconic Washington Monument.
-
E.
Randolph Street
Randolph Street is a major east–west thoroughfare in downtown Chicago known for connecting the Loop business district to the lakefront and cultural attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fac953e08190a2f50bf783c49faf |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9fc6bff48190b2f73e4c8c8b627a |
completed | April 3, 2026, 11:08 a.m. |
Created at: March 27, 2026, 3:57 p.m.