Triple
T11909448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone 5 |
E283354
|
entity |
| Predicate | fareZoneRange |
P102303
|
FINISHED |
| Object | between Zone 4 and Zone 6 |
—
|
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: between Zone 4 and Zone 6 | Statement: [Zone 5, fareZoneRange, between Zone 4 and Zone 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareZoneRange Context triple: [Zone 5, fareZoneRange, between Zone 4 and Zone 6]
-
A.
fareZoneIncludes
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
B.
fareZoneStart
Indicates the fare zone in which a journey, ticket, or pricing calculation begins.
-
C.
fareZoneDescription
Indicates the textual description of the fare zone associated with a service, location, or segment.
-
D.
fareZoneEnd
Indicates the ending boundary or final zone in a defined fare zone range for a trip or ticket.
-
E.
fareZoneUsage
Indicates how a fare zone is applied or utilized within a transportation or pricing context.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:44 p.m.