Triple
T36234017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanchland |
E891327
|
entity |
| Predicate | religiousOrderAssociatedWithOrigin |
P200168
|
FINISHED |
| Object | Premonstratensians |
—
|
NE NERFINISHED |
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: Premonstratensians | Statement: [Blanchland, religiousOrderAssociatedWithOrigin, Premonstratensians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousOrderAssociatedWithOrigin Context triple: [Blanchland, religiousOrderAssociatedWithOrigin, Premonstratensians]
-
A.
religiousOrderAssociation
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
-
B.
religiousOrderBranchOf
Indicates that one religious order or congregation is an official subdivision, branch, or offshoot of another religious order.
-
C.
religiousOrderRelations
Indicates a relationship in which one entity is connected to, affiliated with, or involved in the structure, activities, or authority of a religious order.
-
D.
religiousOrderName
Indicates the specific name of the religious order with which an entity is affiliated or associated.
-
E.
religiousOrdersPresent
chosen
Indicates that one or more religious orders are present or active in relation to the specified entity or location.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 3, 2026, 4:09 p.m.