Triple
T12978653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digbeth |
E321594
|
entity |
| Predicate | regenerationStatus |
P15976
|
FINISHED |
| Object | area of urban regeneration |
—
|
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: area of urban regeneration | Statement: [Digbeth, regenerationStatus, area of urban regeneration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regenerationStatus Context triple: [Digbeth, regenerationStatus, area of urban regeneration]
-
A.
regenerationOf
Indicates that one entity is the renewed, restored, or regrown version of another entity, typically after damage, loss, or degradation.
-
B.
regenerationStartedIn
Indicates that a regeneration process was initiated or began within a specified location, context, or time frame.
-
C.
reconstructionStatus
chosen
Indicates the current state or phase of a reconstruction process that an entity is undergoing or has undergone.
-
D.
hasRegenerationCycleWith
Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
-
E.
regenerationContinuedIn
Indicates that an ongoing process of regeneration persists or is maintained within a specified context, location, or time period.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:38 p.m.