Triple
T24796083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deptford railway station |
E620385
|
entity |
| Predicate | isOneOfOldestPassengerStations |
P30313
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Deptford railway station, isOneOfOldestPassengerStations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestPassengerStations Context triple: [Deptford railway station, isOneOfOldestPassengerStations, yes]
-
A.
isOneOfOldestStationsInSystem
chosen
Indicates that the station is among the earliest or first-built stations within the entire system.
-
B.
isOldestRailwayIn
Indicates that a railway is the most ancient or earliest established railway within a specified geographic area or jurisdiction.
-
C.
isAmongOldestUndergroundSystemsIn
Indicates that an underground transportation system ranks among the oldest of its kind within a specified location or region.
-
D.
isPassengerStationFor
Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
-
E.
isPartOfOneOfOldestMetroLinesInContinentalEurope
Indicates that something belongs to one of the earliest-established metro (subway) lines located in continental Europe.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:48 a.m.