Triple
T21964059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 3B |
E542410
|
entity |
| Predicate | hasOperationalContext |
P26453
|
FINISHED |
| Object | mainline passenger operations |
—
|
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: mainline passenger operations | Statement: [Mark 3B, hasOperationalContext, mainline passenger operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationalContext Context triple: [Mark 3B, hasOperationalContext, mainline passenger operations]
-
A.
hasOperationalComponent
Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
-
B.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
C.
hasAdministrativeContext
Indicates that an entity is associated with a particular administrative setting, scope, or jurisdiction that defines how it is governed, managed, or regulated.
-
D.
hasGlobalOperationsIn
Indicates that an entity conducts business or operational activities across multiple countries within the specified region or location.
-
E.
hasWorkContext
chosen
Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12459e1848190aa8d4ccc97f434b8 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.