Triple
T5507523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaford |
E144476
|
entity |
| Predicate | hasClergyPosition |
P52526
|
FINISHED |
| Object | living for a clergyman |
—
|
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: living for a clergyman | Statement: [Delaford, hasClergyPosition, living for a clergyman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClergyPosition Context triple: [Delaford, hasClergyPosition, living for a clergyman]
-
A.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
B.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
C.
hasClergyOrder
Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
-
D.
heldEcclesiasticalAuthorityIn
Indicates that an entity possessed official religious or church authority within a specified place or jurisdiction.
-
E.
hasClericalFunction
chosen
Indicates that an entity performs, is responsible for, or is associated with a clerical or administrative function.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f495c588190b0cfe5bfb3d2c221 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.