Triple
T26084904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Maria Theresa |
E657951
|
entity |
| Predicate | benefitConferred |
P77057
|
FINISHED |
| Object | hereditary nobility in many cases |
—
|
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: hereditary nobility in many cases | Statement: [Grand Cross of the Order of Maria Theresa, benefitConferred, hereditary nobility in many cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitConferred Context triple: [Grand Cross of the Order of Maria Theresa, benefitConferred, hereditary nobility in many cases]
-
A.
benefice
chosen
Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
-
B.
benefitsCause
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or cause.
-
C.
believedBenefit
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
D.
beneficeType
Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
-
E.
benefits
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 7:42 p.m.