Triple
T6036320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAX Red Line |
E134429
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Portland Streetcar |
E1081
|
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: Portland Streetcar | Statement: [MAX Red Line, connectsWith, Portland Streetcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portland Streetcar Context triple: [MAX Red Line, connectsWith, Portland Streetcar]
-
A.
Portland Streetcar
chosen
Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
-
B.
Seattle Streetcar
The Seattle Streetcar is a modern electric streetcar system providing urban transit service along key corridors in Seattle, Washington.
-
C.
M-Line Streetcar
The M-Line Streetcar is a heritage streetcar service in Dallas, Texas, that operates vintage trolleys through the Uptown area and connects to downtown.
-
D.
Atlanta Streetcar
The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
-
E.
DART streetcar
The DART streetcar is a modern urban rail transit service in Dallas, Texas, providing short-distance connections through the downtown and nearby districts as part of the city’s public transportation system.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b4e3ec819089b2d119ea2953fe |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cf60d00819084bc8405595f7989 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:08 p.m.