Triple
T11725163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayside |
E278744
|
entity |
| Predicate | hasMainCommercialStreet |
P461
|
FINISHED |
| Object | Bell Boulevard |
E874871
|
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: Bell Boulevard | Statement: [Bayside, hasMainCommercialStreet, Bell Boulevard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Boulevard Context triple: [Bayside, hasMainCommercialStreet, Bell Boulevard]
-
A.
Bell Boulevard
chosen
Bell Boulevard is a major commercial and dining thoroughfare in the Bayside neighborhood of Queens, New York City.
-
B.
Garfield Boulevard
Garfield Boulevard is a major east–west thoroughfare on Chicago’s South Side that connects several neighborhoods and park areas, including Washington Park.
-
C.
Roosevelt Boulevard
Roosevelt Boulevard is a major multi-lane arterial roadway in Philadelphia known for heavy traffic, commercial development, and a high rate of accidents.
-
D.
Junction Boulevard
Junction Boulevard is a local New York City Subway station in Queens serving the 7 train on the IRT Flushing Line.
-
E.
Day Boulevard
Day Boulevard is a scenic waterfront roadway in Boston, Massachusetts, known for running along the shores of Dorchester Bay and providing access to parks and beaches.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc30d72588190a1ebab7477c9e668 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 8, 2026, 9:41 p.m.