Triple
T2873937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrorail |
E56829
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | Green Line |
unclear NED1
|
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: Green Line | Statement: [Metrorail, line, Green Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Line Context triple: [Metrorail, line, Green Line]
-
A.
Green Line
The Green Line is one of the color-coded rapid transit routes in the Washington Metro system, serving key neighborhoods in Washington, D.C. and parts of Maryland.
-
B.
Green Line
The Green Line is one of Chicago's elevated rapid transit routes, running primarily along the city's West and South Sides as part of the Chicago "L" system.
-
C.
Green Line
The Green Line is one of the color-coded routes of the Tyne and Wear Metro rapid transit system serving the Newcastle upon Tyne area in northeast England.
-
D.
Green Line
The Green Line is one of the main rapid transit routes of the Dubai Metro, serving key districts along Dubai Creek and connecting important commercial and residential areas.
-
E.
Green Line
The Green Line is one of the major corridors of the Delhi Metro network, serving western parts of Delhi and connecting key residential and industrial areas to the rest of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62788456c8190a484826e5d915d9a |
completed | March 15, 2026, 3:29 a.m. |
Created at: March 6, 2026, 10:03 p.m.