Triple
T7991636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn–North station |
E186019
|
entity |
| Predicate | servedBySystem |
P8459
|
FINISHED |
| Object | Metro SubwayLink |
E111014
|
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: Metro SubwayLink | Statement: [Penn–North station, servedBySystem, Metro SubwayLink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro SubwayLink Context triple: [Penn–North station, servedBySystem, Metro SubwayLink]
-
A.
Metro SubwayLink
chosen
Metro SubwayLink is Baltimore’s rapid transit subway system, providing high-frequency rail service across key corridors in the Baltimore metropolitan area.
-
B.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
C.
Metro Trains
Metro Trains is a suburban passenger rail service brand operating the metropolitan train network in Melbourne, Australia.
-
D.
Metro Line
The Metro Line is a light rail transit route in Edmonton, Alberta, serving key destinations such as the city’s downtown and major educational and health institutions.
-
E.
MRT subway
The MRT subway in Bangkok is a major rapid transit system that provides fast, air-conditioned underground and elevated rail services across key areas of the city.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c712d0481908d163d2509d054fa |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0fe312c81908c6874fa0aabe7d5 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:16 p.m.