Triple
T6331752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q Street NW |
E142395
|
entity |
| Predicate | isParallelTo |
P1868
|
FINISHED |
| Object | P Street NW |
E22841
|
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: P Street NW | Statement: [Q Street NW, isParallelTo, P Street NW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P Street NW Context triple: [Q Street NW, isParallelTo, P Street NW]
-
A.
P Street NW
chosen
P Street NW is a major east–west thoroughfare in Washington, D.C., running through several neighborhoods including the Dupont Circle area.
-
B.
M Street NW
M Street NW is a major commercial and historic thoroughfare running through Georgetown in Washington, D.C., known for its shops, restaurants, and vibrant urban streetscape.
-
C.
L Street NW
L Street NW is a major east–west thoroughfare in Washington, D.C., running through the city's downtown and business districts.
-
D.
I Street NW
I Street NW is a prominent east–west thoroughfare in downtown Washington, D.C., running through key commercial and cultural areas including the Chinatown neighborhood.
-
E.
T Street NW
T Street NW is a street in Washington, D.C.’s Northwest quadrant, running through neighborhoods such as Shaw near Howard University.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c6ec470819088f16fd762d3c7d7 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 22, 2026, 4:30 p.m.