Triple
T33004035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Tax Advisers |
E844444
|
entity |
| Predicate | professionSupported |
P86773
|
FINISHED |
| Object | tax advisory profession |
—
|
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: tax advisory profession | Statement: [Worshipful Company of Tax Advisers, professionSupported, tax advisory profession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionSupported Context triple: [Worshipful Company of Tax Advisers, professionSupported, tax advisory profession]
-
A.
professionalCategory
Indicates the classification of an entity according to its professional field, role, or occupational domain.
-
B.
professionServed
Indicates that an entity has performed work or provided services in a particular profession or occupational role.
-
C.
professionPreparedFor
Indicates that an entity has been trained or equipped to perform a particular profession or occupational role.
-
D.
professionAttribute
Indicates that a specific attribute, quality, or characteristic is associated with a given profession.
-
E.
professionalBody
chosen
Indicates that an entity is a formal organization that represents, regulates, or supports members of a particular profession.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:23 a.m.