Triple
T3694448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe Street |
E78421
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Dearborn Street |
E588158
|
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: Dearborn Street | Statement: [Monroe Street, crosses, Dearborn Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dearborn Street Context triple: [Monroe Street, crosses, Dearborn Street]
-
A.
Dearborn Street
chosen
Dearborn Street is a major north–south thoroughfare in Chicago, Illinois, running through downtown neighborhoods including the historic Printers Row district.
-
B.
Decatur Street
Decatur Street is a historic and lively thoroughfare in New Orleans known for its bars, restaurants, music venues, and views along the Mississippi River.
-
C.
Dexter Street
Dexter Street is a local roadway that connects into the busy commercial and transit hub of Magoun Square in Somerville, Massachusetts.
-
D.
Quincy Street
Quincy Street is a notable street in Cambridge, Massachusetts, that runs through Harvard University's campus and is lined with several important academic and cultural buildings.
-
E.
Bauman Street
Bauman Street is a central pedestrian thoroughfare in Kazan, Russia, known for its historic architecture, shops, cafes, 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e9e4748190aa178692ef27e3a6 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c6a0fdc8190be37008d4f036e51 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 8, 2026, 3:26 p.m.