Triple
T954542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Chichester |
E20596
|
entity |
| Predicate | hasChurches |
P12144
|
FINISHED |
| Object | over 500 |
—
|
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: over 500 | Statement: [Diocese of Chichester, hasChurches, over 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChurches Context triple: [Diocese of Chichester, hasChurches, over 500]
-
A.
hasChurch
Indicates that a place or entity possesses, contains, or is associated with a church.
-
B.
hasNumberOfChurches
chosen
Indicates the relationship that specifies how many churches are associated with a given entity.
-
C.
hasPlaceOfWorship
Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
-
D.
hasMemberChurch
Indicates that a particular church is a constituent member of a larger religious organization, denomination, or church body.
-
E.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.