Triple
T20951542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotunda, Birmingham |
E515987
|
entity |
| Predicate | hasRefurbishmentUse |
P42452
|
FINISHED |
| Object | city-centre apartments |
—
|
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: city-centre apartments | Statement: [Rotunda, Birmingham, hasRefurbishmentUse, city-centre apartments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefurbishmentUse Context triple: [Rotunda, Birmingham, hasRefurbishmentUse, city-centre apartments]
-
A.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
refurbishedIn
Indicates that an entity has undergone restoration, repair, or renovation at a specific time or during a particular period.
-
C.
useAfterRenovation
chosen
Indicates that something is intended to be used or occupied only after renovation work has been completed.
-
D.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
E.
refurbishedForMuseumUse
Indicates that something has been restored or modified specifically to be suitable for display or use in a museum 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fade4e2c81908ab2619d74fcc5a7 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:26 p.m.