Triple
T1185182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lagan |
E25228
|
entity |
| Predicate | hasRejuvenationProject |
P2183
|
FINISHED |
| Object | Lagan regeneration in Belfast |
—
|
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: Lagan regeneration in Belfast | Statement: [River Lagan, hasRejuvenationProject, Lagan regeneration in Belfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRejuvenationProject Context triple: [River Lagan, hasRejuvenationProject, Lagan regeneration in Belfast]
-
A.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
B.
hasRestorationActivities
Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
-
C.
hasNotableProject
chosen
Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
-
D.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
E.
legacyProject
Indicates that a project originates from an earlier phase, system, or generation and is being maintained or carried forward into the current 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.