Triple
T18136065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seán Mac Stíofáin |
E434138
|
entity |
| Predicate | viewOnPartition |
P130587
|
FINISHED |
| Object | opposed 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: opposed partition of Ireland | Statement: [Seán Mac Stíofáin, viewOnPartition, opposed partition of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnPartition Context triple: [Seán Mac Stíofáin, viewOnPartition, opposed partition of Ireland]
-
A.
viewOnUnions
Indicates a person's stance, opinion, or attitude toward labor unions or unionization.
-
B.
viewOnState
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
viewOnSets
Indicates a relationship where one entity holds or defines a particular perspective, interpretation, or stance regarding sets or set-theoretic structures.
-
E.
viewOnValue
Indicates a relationship where one entity holds or expresses a particular perspective, opinion, or stance regarding a specific value or principle.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de07b4b4819085fe80beb7addfd0 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.