Triple
T38266726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristineberg metro station |
E1021081
|
entity |
| Predicate | partOfOpening |
P180347
|
FINISHED |
| Object | first stretch of Stockholm Metro |
—
|
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: first stretch of Stockholm Metro | Statement: [Kristineberg metro station, partOfOpening, first stretch of Stockholm Metro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfOpening Context triple: [Kristineberg metro station, partOfOpening, first stretch of Stockholm Metro]
-
A.
partialOpeningSection
chosen
Indicates that one entity constitutes only a portion or segment of the initial or opening section of another entity.
-
B.
phasedOpening
Indicates that the opening or launch of something occurs in multiple planned stages or phases rather than all at once.
-
C.
openingPractice
Indicates the practice or rehearsal of opening moves, procedures, or initial actions in a given context.
-
D.
openedInPart
Indicates that an entity was opened or made accessible only partially, rather than fully or completely.
-
E.
openingPlateauOf
Indicates that one entity serves as the initial, relatively flat or stable phase or segment in the progression or development of another entity.
- 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01b31b233c819091974a06f7a76d4a |
completed | May 11, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_6a01b2c147008190bbf9e0fa1bbae1f3 |
completed | May 11, 2026, 10:43 a.m. |
Created at: May 3, 2026, 4:30 p.m.