Triple
T15630571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titular Archbishop of Belcastro |
E375799
|
entity |
| Predicate | hasResidentialStatus |
P32548
|
FINISHED |
| Object | non-residential |
—
|
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: non-residential | Statement: [Titular Archbishop of Belcastro, hasResidentialStatus, non-residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialStatus Context triple: [Titular Archbishop of Belcastro, hasResidentialStatus, non-residential]
-
A.
residenceStatus
Indicates the type or condition of an entity’s living arrangement or place of residence in relation to a specified location.
-
B.
isResidential
Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
-
C.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
D.
isResidentialUnitOf
Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
-
E.
residencyStatus
chosen
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.