Triple
T8059744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Firm |
E188089
|
entity |
| Predicate | religiousAssociations |
P45
|
FINISHED |
| Object | Celtic associated with Catholic community |
—
|
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: Celtic associated with Catholic community | Statement: [Old Firm, religiousAssociations, Celtic associated with Catholic community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAssociations Context triple: [Old Firm, religiousAssociations, Celtic associated with Catholic community]
-
A.
religiousAffiliation
chosen
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
C.
religiousFoundation
Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
-
D.
religiousGroupMentioned
Indicates that a religious group is referenced or mentioned in the given context or statement.
-
E.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcaa8b8819099267564b6542547 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.