Triple
T7764661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynx Blue Line |
E176113
|
entity |
| Predicate | notableStationArea |
P3858
|
FINISHED |
| Object | Bank of America Stadium vicinity |
—
|
LITERAL 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: Bank of America Stadium vicinity | Statement: [Lynx Blue Line, notableStationArea, Bank of America Stadium vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStationArea Context triple: [Lynx Blue Line, notableStationArea, Bank of America Stadium vicinity]
-
A.
notableRegionOfSettlement
Indicates that a specified region is a significant or prominent place where an entity is or has been settled.
-
B.
notableOperationArea
Indicates the geographic area or region where an entity primarily conducts or is recognized for its significant operations or activities.
-
C.
notableLocation
chosen
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
hasNotableStation
Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
-
E.
notableInRegion
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
- F. None of above.
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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704076ba08190bcde971f7e4448c6 |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:09 p.m.