Triple
T3958561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrington Bank Quay railway station |
E85840
|
entity |
| Predicate | hasInformationSystems |
P5881
|
FINISHED |
| Object | departure boards |
—
|
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: departure boards | Statement: [Warrington Bank Quay railway station, hasInformationSystems, departure boards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInformationSystems Context triple: [Warrington Bank Quay railway station, hasInformationSystems, departure boards]
-
A.
hasInformationService
chosen
Indicates that one entity provides, operates, or is associated with an information-related service for another entity.
-
B.
hasPASystem
Indicates that an entity possesses or is equipped with a public address (PA) system.
-
C.
hasDevelopmentSystem
Indicates that one entity possesses, uses, or is associated with a particular system, platform, or environment used for development activities.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
usesBusinessSystem
Indicates that one entity makes use of a particular business system to perform its operations, processes, or functions.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.