Triple
T36392891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Street |
E896376
|
entity |
| Predicate | servesTrains |
P154206
|
FINISHED |
| Object | R |
—
|
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: R | Statement: [Union Street, servesTrains, R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTrains Context triple: [Union Street, servesTrains, R]
-
A.
trainsOn
Indicates that one entity receives training, instruction, or practice using or based on another entity (such as a resource, dataset, tool, or subject).
-
B.
servedByNamedTrain
Indicates that a service, route, or journey is operated specifically by a train with a particular designated name.
-
C.
servesLocalTrains
Indicates that a station or facility provides service or stops specifically for local (non-express) train routes.
-
D.
hasRailServiceAt
chosen
Indicates that a rail transport service operates at or serves a particular location or facility.
-
E.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:10 p.m.