Triple
T38429454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D400–D449 |
E903757
|
entity |
| Predicate | regionOfInitialOperation |
P6665
|
FINISHED |
| Object | West Coast Main Line |
—
|
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: West Coast Main Line | Statement: [D400–D449, regionOfInitialOperation, West Coast Main Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfInitialOperation Context triple: [D400–D449, regionOfInitialOperation, West Coast Main Line]
-
A.
regionOfPrimaryOperation
Indicates the geographic area where an entity primarily conducts its main activities or operations.
-
B.
regionOfImplementation
Indicates the geographic or administrative area within which an action, policy, project, or measure is carried out or applied.
-
C.
operatedInRegion
chosen
Indicates that an entity conducted operations or activities within a specified geographic region.
-
D.
regionOfFinal
Indicates the geographic or administrative region in which something ultimately occurs, is finalized, or reaches its final state.
-
E.
regionOfCompilation
Indicates the geographic or administrative region where something (such as a document, dataset, or work) was compiled or put together.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.