Triple
T16733972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Sisters Underground station |
E406668
|
entity |
| Predicate | isRailwaySection |
P110338
|
FINISHED |
| Object | surface-level platforms |
—
|
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: surface-level platforms | Statement: [Seven Sisters Underground station, isRailwaySection, surface-level platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRailwaySection Context triple: [Seven Sisters Underground station, isRailwaySection, surface-level platforms]
-
A.
railwayLineSection
Indicates a specific segment or portion of a railway line that connects two points along the rail network.
-
B.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
-
C.
isRailInfrastructure
chosen
Indicates that something functions as or is classified as part of a railway-related physical infrastructure or system.
-
D.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
E.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c38c9cc8190a3220cc3684388dc |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.