Triple
T20724544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 7 Company, Irish Guards |
E509399
|
entity |
| Predicate | regimentalReligion |
P45
|
FINISHED |
| Object | predominantly Roman Catholic heritage |
—
|
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: predominantly Roman Catholic heritage | Statement: [No. 7 Company, Irish Guards, regimentalReligion, predominantly Roman Catholic heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regimentalReligion Context triple: [No. 7 Company, Irish Guards, regimentalReligion, predominantly Roman Catholic heritage]
-
A.
religionOfDefenders
Indicates the religious affiliation practiced or associated with the defenders in a given context.
-
B.
hasReligionOfBelligerents
Indicates that the belligerent parties in a conflict are associated with a particular religion or religious affiliation.
-
C.
religiousAffiliation
chosen
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
religionOfRebels
Indicates the religious affiliation or belief system followed by the rebels.
-
E.
officialReligion
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e662f08190917ee043612d413e |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:28 p.m.