Triple
T3651028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Hubert |
E77416
|
entity |
| Predicate | traditionallyAwardedBy |
P44139
|
FINISHED |
| Object | ruling house of Bavaria |
—
|
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: ruling house of Bavaria | Statement: [Order of Saint Hubert, traditionallyAwardedBy, ruling house of Bavaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyAwardedBy Context triple: [Order of Saint Hubert, traditionallyAwardedBy, ruling house of Bavaria]
-
A.
typicalAwardedBy
chosen
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
B.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardType
Indicates the specific category or kind of award associated with an entity or event.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc39303bc819090725643e53a96d6 |
completed | March 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.