Triple
T37123544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGW |
E919327
|
entity |
| Predicate | mapsToStopPoint |
P9923
|
FINISHED |
| Object | North Greenwich Underground stop ID (TfL) |
—
|
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: North Greenwich Underground stop ID (TfL) | Statement: [NGW, mapsToStopPoint, North Greenwich Underground stop ID (TfL)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapsToStopPoint Context triple: [NGW, mapsToStopPoint, North Greenwich Underground stop ID (TfL)]
-
A.
mapsTo
chosen
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
B.
mapsToAirport
Indicates a relationship where one entity is associated with, linked to, or directed toward a specific airport.
-
C.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
D.
coordinatesTransit
Indicates that one entity organizes, manages, or synchronizes the transit or transportation activities of another entity or between multiple entities.
-
E.
mapLocation
Indicates a relationship where an entity is associated with a specific position or area on a map.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.