Triple
T13966907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnside railway station |
E335947
|
entity |
| Predicate | hasPublicTelephone |
P31055
|
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: [Arnside railway station, hasPublicTelephone, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicTelephone Context triple: [Arnside railway station, hasPublicTelephone, true]
-
A.
hasTelephoneService
chosen
Indicates that a subject is provided with or connected to telephone service.
-
B.
hasContactMethod
Indicates that an entity has a specific way or channel through which it can be contacted.
-
C.
hasNonEmergencyNumber
Indicates that an entity is associated with a phone number intended for non-emergency, routine, or informational contact rather than urgent or emergency situations.
-
D.
hasCallCenter
Indicates that an entity operates, is associated with, or is served by a call center.
-
E.
hasCallInNumber
Indicates that an entity has an associated telephone number designated for receiving incoming calls.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.