Triple
T22770008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University College School, London |
E563527
|
entity |
| Predicate | isNonDenominational |
P26747
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University College School, London, isNonDenominational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonDenominational Context triple: [University College School, London, isNonDenominational, true]
-
A.
isNonSectarian
chosen
Indicates that an organization, institution, or activity is not affiliated with, restricted to, or biased toward any particular religious sect or denomination.
-
B.
isNonReligious
Indicates that an entity does not adhere to, practice, or identify with any religion or religious belief system.
-
C.
isStateChurch
Indicates that a church is officially recognized and established as the state’s or government’s official religion.
-
D.
nonParticipatingChurch
Indicates that a church is not taking part in a specified activity, program, event, or agreement.
-
E.
hasDenominationalRole
Indicates that an entity holds or fulfills a specific role, office, or function within a religious denomination or faith organization.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.