Triple
T3829343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARTA Bus |
E88771
|
entity |
| Predicate | primaryHub |
P394
|
FINISHED |
| Object | Five Points station |
E152415
|
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: Five Points station | Statement: [MARTA Bus, primaryHub, Five Points station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Five Points station Context triple: [MARTA Bus, primaryHub, Five Points station]
-
A.
Five Points station
chosen
Five Points station is the primary transit hub in downtown Atlanta where multiple MARTA rail lines intersect, serving as a major connection point for commuters across the metropolitan area.
-
B.
North Avenue station
North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
-
C.
North Avenue station
North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
-
D.
46th Street Station
46th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
-
E.
10th Street Station
10th Street Station is a light rail stop on Metro Transit's Green Line serving downtown Saint Paul, Minnesota.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb683c2081908ffa6e759a3470fe |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6721847ec8190bc4307ee958d1096 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 9, 2026, 3:17 p.m.