Triple
T5281369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltsjöbanan |
E119504
|
entity |
| Predicate | hasSubline |
P40619
|
FINISHED |
| Object | line to Saltsjöbaden |
—
|
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: line to Saltsjöbaden | Statement: [Saltsjöbanan, hasSubline, line to Saltsjöbaden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubline Context triple: [Saltsjöbanan, hasSubline, line to Saltsjöbaden]
-
A.
hasSubstyle
Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
-
B.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
-
C.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
D.
hasSubsidiaryTitle
Indicates that an entity has an additional or secondary title formally associated with its main title.
-
E.
hasSubunitName
chosen
Indicates that an entity includes or is associated with a named subunit or component as part of its structure or organization.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.