Triple
T30546481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnehurst |
E777430
|
entity |
| Predicate | railCommuterSuburbOf |
P5065
|
FINISHED |
| Object | Central London |
—
|
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: Central London | Statement: [Barnehurst, railCommuterSuburbOf, Central London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railCommuterSuburbOf Context triple: [Barnehurst, railCommuterSuburbOf, Central London]
-
A.
isSuburbanStationOf
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
-
B.
isSuburbanStationFor
Indicates that a station primarily serves a suburban area or functions as a transit hub for suburban commuters relative to a larger urban center.
-
C.
hasSuburbanTerminus
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
D.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
E.
isResidentialSuburbOf
chosen
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
- 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_69f2249e19108190a458ab446096bf22 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6889142a081908b0eac96fbc151eb |
completed | May 2, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:19 p.m.