Triple
T23898786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central line – Piccadilly line |
E600980
|
entity |
| Predicate | partOfStation |
P8428
|
FINISHED |
| Object | Holborn Underground station |
—
|
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: Holborn Underground station | Statement: [Central line – Piccadilly line, partOfStation, Holborn Underground station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfStation Context triple: [Central line – Piccadilly line, partOfStation, Holborn Underground station]
-
A.
partOfFacility
Indicates that one entity is a component, section, or sub-unit belonging to a larger facility.
-
B.
partOfTerminalComplex
Indicates that an entity functions as a component or subunit within a larger terminal complex structure.
-
C.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
D.
partOfHistoricalStructure
Indicates that one entity is a component, section, or element belonging to a larger historical structure.
-
E.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddca9708190acd3e9edc9b5940b |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.