Triple
T24897344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myki Zone 1 |
E623180
|
entity |
| Predicate | usedForMode |
P11331
|
FINISHED |
| Object | train |
—
|
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: train | Statement: [Myki Zone 1, usedForMode, train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForMode Context triple: [Myki Zone 1, usedForMode, train]
-
A.
usedOnMode
chosen
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
-
B.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
D.
usedForProduct
Indicates that one entity serves as a tool, component, or means specifically employed in the creation, operation, or delivery of another entity considered as a product.
-
E.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:26 a.m.