Triple
T14557286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensbourne (UK Parliament constituency) |
E341572
|
entity |
| Predicate | boundaryChangeYear |
P21193
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Ravensbourne (UK Parliament constituency), boundaryChangeYear, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundaryChangeYear Context triple: [Ravensbourne (UK Parliament constituency), boundaryChangeYear, 1983]
-
A.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
-
B.
borderChange
chosen
Indicates a change in the boundaries between geographic or political entities, such as when borders are redrawn, expanded, reduced, or otherwise altered over time.
-
C.
redesignationYear
Indicates the year in which something was officially redesignated, renamed, or assigned a new status or classification.
-
D.
dateChangesWith
Indicates that the date associated with one entity is altered or updated in conjunction with, or as a result of, a change involving another entity.
-
E.
banYear
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.