Triple
T3333645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Sheriff of Gloucestershire |
E70088
|
entity |
| Predicate | officeHolderTermLength |
P540
|
FINISHED |
| Object | one year |
—
|
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: one year | Statement: [High Sheriff of Gloucestershire, officeHolderTermLength, one year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTermLength Context triple: [High Sheriff of Gloucestershire, officeHolderTermLength, one year]
-
A.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
B.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
C.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
termLengthNumber
Indicates the numerical value representing the duration or length of a specified term.
-
E.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb194960081909333c855f06d8b03 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.