Triple
T4313182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit QLine |
E94121
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Congress Street |
E312482
|
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: Congress Street | Statement: [Detroit QLine, terminus, Congress Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Congress Street Context triple: [Detroit QLine, terminus, Congress Street]
-
A.
Congress Street
Congress Street is a historic thoroughfare in downtown Savannah, Georgia, known for its proximity to the city’s iconic squares, shops, and restaurants.
-
B.
Congress Street
chosen
Congress Street is a roadway that serves as one of the access points to Boston’s State subway station in the downtown area.
-
C.
Congress Street
Congress Street is a major thoroughfare and historic commercial corridor in downtown Portland, Maine, known for its shops, restaurants, and cultural institutions.
-
D.
Washington Street
Washington Street is a major historic thoroughfare in downtown Boston, Massachusetts, running through the city’s central civic and commercial districts.
-
E.
Washington Street
Washington Street is a major thoroughfare running through San Francisco’s Chinatown, known for its dense concentration of Chinese shops, restaurants, and cultural landmarks.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75f30f48190ab030d635bd334af |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:12 p.m.