Triple
T7691333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Justice of Ireland |
E174252
|
entity |
| Predicate | sitsWith |
P33491
|
FINISHED |
| Object | ordinary judges of the Supreme Court 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: ordinary judges of the Supreme Court of Ireland | Statement: [Chief Justice of Ireland, sitsWith, ordinary judges of the Supreme Court of Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sitsWith Context triple: [Chief Justice of Ireland, sitsWith, ordinary judges of the Supreme Court of Ireland]
-
A.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
B.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
-
C.
seatLocatedAt
Indicates that a seat is positioned or situated at a specific location or place.
-
D.
canSitIn
Indicates that one entity is able or permitted to sit inside or occupy the seating space of another entity.
-
E.
maySitWith
chosen
Indicates that one entity is permitted or allowed to sit together with another entity.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.