Triple
T24977698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Park park and ride |
E625070
|
entity |
| Predicate | fareZoneRelation |
P157497
|
FINISHED |
| Object | outer terminus of NET line |
—
|
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: outer terminus of NET line | Statement: [Phoenix Park park and ride, fareZoneRelation, outer terminus of NET line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareZoneRelation Context triple: [Phoenix Park park and ride, fareZoneRelation, outer terminus of NET line]
-
A.
fareZoneAuthority
Indicates that an authority or organization is responsible for defining, managing, or overseeing a specific fare zone.
-
B.
fareZoneOfStationIdentified
Indicates that the specific fare zone associated with a given station has been identified.
-
C.
fareZoneDescription
Indicates the textual description of the fare zone associated with a service, location, or segment.
-
D.
fareZoneIncludes
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
E.
fareZoneRange
Indicates the range of fare zones within which a ticket, pass, or fare rule is valid or applicable.
- F. None of above. chosen
Provenance (4 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490369b481908996679025dc50a0 |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:02 a.m.