Triple
T16867277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deanery of Christ Church, Oxford |
E410073
|
entity |
| Predicate | hasPrimaryResidentOffice |
P19057
|
FINISHED |
| Object | office of the Dean of Christ 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: office of the Dean of Christ Church | Statement: [Deanery of Christ Church, Oxford, hasPrimaryResidentOffice, office of the Dean of Christ Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryResidentOffice Context triple: [Deanery of Christ Church, Oxford, hasPrimaryResidentOffice, office of the Dean of Christ Church]
-
A.
hasPrimaryBusinessLocation
Indicates that an entity’s main or principal place of business is located at a specified location.
-
B.
hasAssociatedOffice
chosen
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
C.
hasCorporateOffice
Indicates that an entity maintains a formal corporate office at a specified location or within another organizational entity.
-
D.
hasProperOffice
Indicates that an entity maintains an officially designated, appropriate office or place of business.
-
E.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50983148190a116f7e7017ccb1c |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.