Triple
T16265820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARTA Streetcar |
E394872
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Atlanta Streetcar |
E552312
|
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: Atlanta Streetcar | Statement: [MARTA Streetcar, shortName, Atlanta Streetcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlanta Streetcar Context triple: [MARTA Streetcar, shortName, Atlanta Streetcar]
-
A.
Atlanta Streetcar
chosen
The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
-
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.
DC Streetcar
DC Streetcar is a modern streetcar transit system in Washington, D.C. that provides light-rail-style service along key corridors in the city.
-
D.
Portland Streetcar
Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
-
E.
MARTA Streetcar
MARTA Streetcar is a modern streetcar transit service operating in Atlanta, Georgia, providing local rail connections through key downtown and nearby neighborhoods.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b877088190893a1f012e5d2463 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.