Triple
T10323703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackeberg |
E242704
|
entity |
| Predicate | metroLine |
P848
|
FINISHED |
| Object | Green line |
E378322
|
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: [Blackeberg, metroLine, Green line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green line Context triple: [Blackeberg, metroLine, Green line]
-
A.
Green line
chosen
The Green line is one of the main color-coded routes in the Stockholm metro system, serving numerous central and suburban stations across the city.
-
B.
Blue line
The Blue line is one of the main lines of the Stockholm metro system, connecting central Stockholm with several northern and western suburbs.
-
C.
Red line
The Red line is one of the main color-coded routes of the Stockholm metro system, serving numerous central and suburban stations across the city.
-
D.
Yellow Line
The Yellow Line is one of the color-coded rapid transit routes in the Washington Metro system, running primarily in a north–south direction and serving key areas in Washington, D.C. and Northern Virginia.
-
E.
Yellow Line
Yellow Line is one of the principal urban cable car routes in La Paz–El Alto’s Mi Teleférico system, providing high-altitude public transit and panoramic city views.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.