Triple
T34927701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transbay BART network |
E1007336
|
entity |
| Predicate | openedWithStructure |
P193854
|
FINISHED |
| Object | Transbay Tube |
—
|
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: Transbay Tube | Statement: [Transbay BART network, openedWithStructure, Transbay Tube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedWithStructure Context triple: [Transbay BART network, openedWithStructure, Transbay Tube]
-
A.
openedWith
Indicates that an entity is opened, initiated, or accessed using a specified tool, method, or instrument.
-
B.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
C.
openedWithSection
Indicates that something (such as a document, file, or resource) is opened starting from or via a specific section.
-
D.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
-
E.
openedWithBuilding
Indicates that an opening event or access action to something (e.g., a facility, space, or structure) is performed using or via a specific building as the means or 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fd57b9cdec81908536c4159e375931 |
completed | May 8, 2026, 3:25 a.m. |
Created at: May 3, 2026, 4 p.m.