Triple
T2247305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrington St John |
E49533
|
entity |
| Predicate | religiousCentre |
P34373
|
FINISHED |
| Object | Church of England parish church |
—
|
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: Church of England parish church | Statement: [Terrington St John, religiousCentre, Church of England parish church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousCentre Context triple: [Terrington St John, religiousCentre, Church of England parish church]
-
A.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
-
B.
hasPlaceOfWorship
Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
-
C.
religiousSiteType
chosen
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
D.
nearReligiousSite
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
E.
religiousTarget
Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.