Triple
T3387219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METRO Blue Line |
E71330
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mall of America |
E29589
|
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: Mall of America | Statement: [METRO Blue Line, connects, Mall of America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mall of America Context triple: [METRO Blue Line, connects, Mall of America]
-
A.
Mall of America
chosen
Mall of America is one of the largest shopping and entertainment complexes in the United States, featuring hundreds of stores, restaurants, and an indoor amusement park.
-
B.
Gurnee Mills
Gurnee Mills is a large outlet and value shopping mall in Gurnee, Illinois, known for its extensive selection of retail stores, dining, and entertainment options.
-
C.
Gateway Mall
Gateway Mall is a major commercial shopping complex located in the Cubao district of Quezon City, Philippines.
-
D.
Mall of Scandinavia
Mall of Scandinavia is one of the largest and most modern shopping and entertainment centers in Scandinavia, located just north of central Stockholm in Sweden.
-
E.
McKeldin Mall
McKeldin Mall is the central, tree-lined green space and main quadrangle of the University of Maryland’s College Park campus, known for its expansive lawn, fountain, and surrounding academic buildings.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb66448fc8190a8582145f02bb1d9 |
completed | March 8, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33458130881908a2b47abd91f4ea8 |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.