Triple
T2000078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orbiston, Bellshill, Scotland |
E43447
|
entity |
| Predicate | hasNotableAssociationWith |
P1481
|
FINISHED |
| Object | football history |
—
|
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: football history | Statement: [Orbiston, Bellshill, Scotland, hasNotableAssociationWith, football history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAssociationWith Context triple: [Orbiston, Bellshill, Scotland, hasNotableAssociationWith, football history]
-
A.
notablyAssociatedWith
chosen
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
-
B.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
D.
hasNotableProfessionDistributionIn
Indicates that the distribution or prevalence of notable professions associated with an entity is observed or characterized within a specified context, such as a location or group.
-
E.
hasNotableMember
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.