Triple
T13336484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H Street NE |
E317706
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object | DC Streetcar |
E609343
|
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: DC Streetcar | Statement: [H Street NE, hasTransportation, DC Streetcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC Streetcar Context triple: [H Street NE, hasTransportation, DC Streetcar]
-
A.
DC Streetcar
chosen
DC Streetcar is a modern streetcar transit system in Washington, D.C. that provides light-rail-style service along key corridors in the city.
-
B.
Dallas Streetcar
Dallas Streetcar is a modern, free-to-ride streetcar line in Dallas, Texas, providing light rail-style transit between downtown and the Oak Cliff area.
-
C.
Atlanta Streetcar
The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
-
D.
Seattle Streetcar
The Seattle Streetcar is a modern electric streetcar system providing urban transit service along key corridors in Seattle, Washington.
-
E.
McKinney Avenue Trolley
The McKinney Avenue Trolley is a heritage streetcar system in Dallas, Texas, that operates vintage trolleys as a free public transit service and tourist attraction.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f39f298819088d79cda3ac2b375 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.