Triple
T12195032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Necropolis Railway |
E290564
|
entity |
| Predicate | religiousSegregation |
P15323
|
FINISHED |
| Object | Anglican sections |
—
|
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: Anglican sections | Statement: [London Necropolis Railway, religiousSegregation, Anglican sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousSegregation Context triple: [London Necropolis Railway, religiousSegregation, Anglican sections]
-
A.
segregationBasis
chosen
Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
-
B.
typeOfSegregationAddressed
Indicates the specific form or category of segregation that is being targeted, handled, or dealt with in a given context.
-
C.
religiousMinorityCommunity
Indicates a community whose members follow a religion that is numerically or socially less dominant within a larger societal or national context.
-
D.
religiousMinorityCenterFor
Indicates that a place or institution serves as a central hub or focal point for a specific religious minority group.
-
E.
religionMinority
Indicates that the subject’s religion is a minority faith within the relevant population or context.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.