Triple
T4060846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U7 |
E86206
|
entity |
| Predicate | openedAsIndependentLine |
P53828
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Berlin U-Bahn line U7, openedAsIndependentLine, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsIndependentLine Context triple: [Berlin U-Bahn line U7, openedAsIndependentLine, 1966]
-
A.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
B.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
C.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
D.
openedAsBranchOf
Indicates that one entity was established and began operating as a branch or subsidiary location of another entity.
-
E.
openedAsComplex
Indicates that one entity was inaugurated or began operation specifically as a multi-part or multi-use complex, rather than as a single standalone facility.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefd0995188190b1bc8771fe7f423a |
completed | March 9, 2026, 5:02 p.m. |
Created at: March 9, 2026, 3:38 p.m.