Triple
T18598665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enfield Chase railway station |
E454560
|
entity |
| Predicate | hasCommuterServices |
P132722
|
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: [Enfield Chase railway station, hasCommuterServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuterServices Context triple: [Enfield Chase railway station, hasCommuterServices, yes]
-
A.
hasCommuterOperator
Indicates that an entity (such as a route, service, or station) is operated or served by a specific commuter transport operator.
-
B.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
-
C.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
D.
hasCommuterLinks
Indicates that there are established transportation connections enabling regular travel between two locations.
-
E.
includesCommuterSystem
Indicates that one entity contains or incorporates a commuter transportation system as part of its structure or services.
- F. None of above. chosen
Provenance (4 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474f1d548190b74408eabd396344 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:45 a.m.