Triple
T32300044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Lytham & St Annes |
E825210
|
entity |
| Predicate | isOnOpenRota |
P173942
|
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: [Royal Lytham & St Annes, isOnOpenRota, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnOpenRota Context triple: [Royal Lytham & St Annes, isOnOpenRota, yes]
-
A.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
B.
isOnScheduleOf
Indicates that something is included in and follows the planned timing or sequence defined by a particular schedule.
-
C.
isOpeningFor
Indicates that one entity serves as the beginning, introduction, or initial act for another entity, such as an event, performance, or sequence.
-
D.
isOnProject
Indicates that an entity is currently assigned to, involved with, or working on a particular project.
-
E.
hasOnlineReservation
Indicates that an entity has a booking or reservation that was made or is managed through an online system.
- 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd70b43c819086d1e5f1df5aec86 |
completed | May 3, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:45 a.m.