Triple
T36602995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serjeant-at-law |
E902968
|
entity |
| Predicate | requiredForOffice |
P25402
|
FINISHED |
| Object | appointment as judge of Common Pleas |
—
|
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: appointment as judge of Common Pleas | Statement: [Serjeant-at-law, requiredForOffice, appointment as judge of Common Pleas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiredForOffice Context triple: [Serjeant-at-law, requiredForOffice, appointment as judge of Common Pleas]
-
A.
requirementsForOffice
chosen
Indicates that certain conditions, qualifications, or criteria must be met in order to hold or assume a particular office or position.
-
B.
appointmentRequirement
Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
-
C.
requiresConcurrentOffice
Indicates that one entity’s validity, operation, or status depends on another entity holding a specific office or position at the same time.
-
D.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
E.
organizedForOffice
Indicates that an entity arranged or structured activities, resources, or efforts in support of a particular office or official position.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: May 3, 2026, 4:11 p.m.