Triple
T5038286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Links Market funfair |
E113479
|
entity |
| Predicate | drawsVisitorsFrom |
P60949
|
FINISHED |
| Object | across Scotland |
—
|
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: across Scotland | Statement: [Links Market funfair, drawsVisitorsFrom, across Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawsVisitorsFrom Context triple: [Links Market funfair, drawsVisitorsFrom, across Scotland]
-
A.
drawsStudentsFrom
Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
-
B.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
C.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
-
D.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
E.
visitorUse
Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73daaa788190b670f6c328bfa44f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73617f348190b2fa68a0ef4fc7b1 |
completed | March 20, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:37 p.m.