Triple
T13604533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Frontier Transportation Authority |
E325026
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Metro Rail
Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
|
E1050099
|
NE FINISHED |
How this triple was built (4 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: Metro Rail | Statement: [Niagara Frontier Transportation Authority, operates, Metro Rail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro Rail Context triple: [Niagara Frontier Transportation Authority, operates, Metro Rail]
-
A.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
B.
Metro Trains
Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
-
C.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
D.
Metrorail
Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
-
E.
METRORail light rail
METRORail light rail is Houston's urban light rail transit system operated by METRO, connecting key destinations throughout the city’s central area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metro Rail Triple: [Niagara Frontier Transportation Authority, operates, Metro Rail]
Generated description
Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metro Rail Target entity description: Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
-
A.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
B.
Metro Trains
Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
-
C.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
D.
Metrorail
Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
-
E.
METRORail light rail
METRORail light rail is Houston's urban light rail transit system operated by METRO, connecting key destinations throughout the city’s central area.
- F. None of above. chosen
Provenance (5 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780bc40f481908191fec9a563e547 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7817b8c408190b7211ba8fd892f75 |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 9, 2026, 9:50 p.m.