Triple
T15231695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice of the Supreme Court of the United Kingdom |
E364017
|
entity |
| Predicate | hasMaximumNumber |
P21198
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Justice of the Supreme Court of the United Kingdom, hasMaximumNumber, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumNumber Context triple: [Justice of the Supreme Court of the United Kingdom, hasMaximumNumber, 12]
-
A.
hasMaximumValue
Indicates that one value in a set is the greatest or highest possible according to a specified criterion.
-
B.
hasMaximumNumberOfMembers
chosen
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
C.
hasMaximumBalanceLimit
Indicates that there is an upper bound on the balance that an account or entity is allowed to hold.
-
D.
hasMaximumLength
Indicates that there is an upper limit on the length or size of something, beyond which it cannot extend.
-
E.
hasLimitSet
Indicates that there is a defined boundary, range, or constraint applied to something.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078e27408190bc13c0ca441f5594 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.