Triple
T6694456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Transportation Center |
E152712
|
entity |
| Predicate | metraZone |
P17300
|
FINISHED |
| Object | Zone F |
—
|
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: Zone F | Statement: [Aurora Transportation Center, metraZone, Zone F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metraZone Context triple: [Aurora Transportation Center, metraZone, Zone F]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
C.
nearMetroStation
Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
-
D.
metroLineInaugurated
Indicates that a metro line was officially opened and began operation on a specific date or during a specific event.
-
E.
publicTransportZone
chosen
Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.