Triple
T24753710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakewood Station |
E619219
|
entity |
| Predicate | fareZoneAuthority |
P157092
|
FINISHED |
| Object | Sound Transit |
—
|
NE NERFINISHED |
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: Sound Transit | Statement: [Lakewood Station, fareZoneAuthority, Sound Transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareZoneAuthority Context triple: [Lakewood Station, fareZoneAuthority, Sound Transit]
-
A.
fareZoneIncludes
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
B.
fareZoneDescription
Indicates the textual description of the fare zone associated with a service, location, or segment.
-
C.
fareZoneSince
Indicates the date or time from which a particular fare zone assignment has been in effect for an entity.
-
D.
fareZoneStart
Indicates the fare zone in which a journey, ticket, or pricing calculation begins.
-
E.
fareZoneOfStationIdentified
Indicates that the specific fare zone associated with a given station has been identified.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:25 a.m.