Triple
T26222132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Court judge of England and Wales |
E655791
|
entity |
| Predicate | belowInRank |
P11456
|
FINISHED |
| Object | Lord Justice of Appeal |
—
|
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: Lord Justice of Appeal | Statement: [High Court judge of England and Wales, belowInRank, Lord Justice of Appeal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belowInRank Context triple: [High Court judge of England and Wales, belowInRank, Lord Justice of Appeal]
-
A.
lowerRank
chosen
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
B.
belowLeague
Indicates that one entity is in a lower league, division, or competitive tier than another entity.
-
C.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
D.
lowerRankedOrder
Indicates that one entity holds a lower rank or priority in an ordered sequence relative to another entity.
-
E.
lowerRankDescription
Indicates that one entity holds a lower rank or status in a hierarchy relative to 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d5060708190b3134a5e5a4ca850 |
completed | May 2, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:56 p.m.