Triple
T8355591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Travel Area |
E196672
|
entity |
| Predicate | maintainedAfterEvent |
P82259
|
FINISHED |
| Object | partition of Ireland |
—
|
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: partition of Ireland | Statement: [Common Travel Area, maintainedAfterEvent, partition of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintainedAfterEvent Context triple: [Common Travel Area, maintainedAfterEvent, partition of Ireland]
-
A.
maintainedDuring
Indicates that a certain condition, state, or relationship continues to hold throughout the duration of a specified event or time interval.
-
B.
replacedAfterEvent
Indicates that one entity takes the place of another entity following a specified event or occurrence.
-
C.
maintainsThrough
Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
-
D.
maintainedFor
Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
-
E.
repealedAfterEvent
Indicates that a law or regulation was repealed as a consequence of, or following, a specific event.
- F. None of above. chosen
Provenance (4 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804a344c819089c0a13fe66e3088 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:59 p.m.