Triple
T10788295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petts Wood railway station |
E254503
|
entity |
| Predicate | isSuburbanCommuterStation |
P30944
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Petts Wood railway station, isSuburbanCommuterStation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuburbanCommuterStation Context triple: [Petts Wood railway station, isSuburbanCommuterStation, true]
-
A.
isSuburbanStationOf
chosen
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.
isKeyCommuterStation
Indicates that a station functions as a major hub for regular commuter traffic, serving as a primary access or transfer point for daily travelers.
-
C.
isSuburbanHub
Indicates that a location functions as a primary activity or transit center within a suburban area, serving surrounding neighborhoods.
-
D.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
E.
isCommuterHub
Indicates that a location functions as a central node where many commuters start, end, or transfer during their regular travel.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d65fcc8190ab5573a861409c56 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.