Triple
T1721486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Mindelheim |
E37401
|
entity |
| Predicate | grantedAsRewardFor |
P31175
|
FINISHED |
| Object | service to the Grand Alliance |
—
|
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: service to the Grand Alliance | Statement: [Prince of Mindelheim, grantedAsRewardFor, service to the Grand Alliance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedAsRewardFor Context triple: [Prince of Mindelheim, grantedAsRewardFor, service to the Grand Alliance]
-
A.
offeredRewardTo
Indicates that one entity has proposed or promised a reward to another entity, typically as an incentive for a specific action or outcome.
-
B.
rewardFulfilledFor
Indicates that a previously promised or expected reward has been delivered or satisfied for a particular entity.
-
C.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
D.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
E.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
- F. None of above. chosen
Provenance (4 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aadb68868c819097ec6db6194abae6 |
completed | March 6, 2026, 1:49 p.m. |
Created at: March 4, 2026, 7:30 p.m.