Triple
T5913825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Economy Parking |
E131528
|
entity |
| Predicate | hasAccessMode |
P6865
|
FINISHED |
| Object | PHX Sky Train |
E23609
|
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: PHX Sky Train | Statement: [East Economy Parking, hasAccessMode, PHX Sky Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PHX Sky Train Context triple: [East Economy Parking, hasAccessMode, PHX Sky Train]
-
A.
PHX Sky Train
chosen
PHX Sky Train is an automated people mover system that transports passengers between terminals, parking areas, and the light rail at Phoenix Sky Harbor International Airport.
-
B.
Valley Metro
Valley Metro is the regional public transportation system serving the Phoenix metropolitan area, operating bus, light rail, and paratransit services.
-
C.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
D.
LYNX light rail system
The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
-
E.
STC Metro
STC Metro is the rapid transit system serving Mexico City and some surrounding areas, known as one of the largest and busiest metro networks in Latin America.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b85c7481908bc9da9d38e02d2b |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1134e27388190ad90faed28d2d360 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:59 p.m.